CN106326856A - Surgery image processing method and surgery image processing device - Google Patents

Surgery image processing method and surgery image processing device Download PDF

Info

Publication number
CN106326856A
CN106326856A CN201610696040.3A CN201610696040A CN106326856A CN 106326856 A CN106326856 A CN 106326856A CN 201610696040 A CN201610696040 A CN 201610696040A CN 106326856 A CN106326856 A CN 106326856A
Authority
CN
China
Prior art keywords
image
pathological
operative image
operative
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610696040.3A
Other languages
Chinese (zh)
Inventor
史文勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Thick Kay (tianjin) Medical Technology Co Ltd
Original Assignee
Thick Kay (tianjin) Medical Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Thick Kay (tianjin) Medical Technology Co Ltd filed Critical Thick Kay (tianjin) Medical Technology Co Ltd
Priority to CN201610696040.3A priority Critical patent/CN106326856A/en
Publication of CN106326856A publication Critical patent/CN106326856A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns

Abstract

An embodiment of the invention discloses a surgery image processing method and a surgery image processing device. The surgery image processing method comprises the steps of acquiring a surgery image of a surgery area, wherein the surgery image of the surgery area is acquired by image acquisition equipment; identifying image characteristics of the surgery image, and determining lesion tissue information which is contained in the surgery image according to the identified image characteristics; generating lesion mark information according to the lesion tissue information contained in the surgery image; and displaying the surgery image which contains the lesion mark according to the lesion mark information. Compared with an existing surgery image processing method, the surgery image processing method and the surgery image processing device have advantages of preventing artificial lesion tissue identification by a doctor, improving image identification efficiency, realizing no requirement for relatively high lesion tissue identification capability, and reducing labor cost.

Description

A kind of operative image processing method and processing device
Technical field
The present embodiments relate to technical field of medical instruments, be specifically related to a kind of operative image processing method and processing device.
Background technology
In ultrasonic surgical, ultrasonic cutter head is used for pulverizing, cutting calcination, solidification pathological tissues, simultaneously to the most just Often the protection of tissue is the most extremely important, therefore during ultrasonic surgical, doctor must accurately distinguish pathological tissues with just Often tissue.
In existing operative image processing method, the pathological tissues information comprised in doctor's artificial cognition operative image, know Other efficiency is low, and requires higher to the pathological changes identification ability of doctor, and exper ienced doctor just can carry out pathological tissues identification.Cause The recognition efficiency of this existing operative image processing method is low and cost of labor is higher.
Summary of the invention
The purpose of the embodiment of the present invention is to provide a kind of operative image processing method and processing device, to improve operative image knowledge Other efficiency, and reduce cost of labor.
First aspect, embodiments provides a kind of operative image processing method, including:
Obtain the operative image of the operative region that image capture device gathers;
Identify the characteristics of image of described operative image, and determine bag in described operative image according to the characteristics of image recognized The pathological tissues information contained;
Pathological changes label information is generated according to the pathological tissues information comprised in described operative image;
The operative image comprising pathological changes labelling is shown according to described pathological changes label information.
Second aspect, embodiments provides a kind of operative image processing means, including:
Image acquisition unit, for obtaining the operative image of the operative region that image capture device gathers;
Pathological changes recognition unit is for identifying the characteristics of image of described operative image and true according to the characteristics of image recognized The pathological tissues information comprised in fixed described operative image;
Label information signal generating unit, for generating pathological changes labelling according to the pathological tissues information comprised in described operative image Information;
Labelling display unit, for showing the operative image comprising pathological changes labelling according to described pathological changes label information.
The technical scheme that the embodiment of the present invention provides, by identifying the characteristics of image of operative image, and according to recognizing Characteristics of image determines the pathological tissues information comprised in operative image, pathological tissues information is added pathological changes labelling, and shows bag Containing the operative image of pathological changes labelling, the pathological changes labelling enabling doctor to pass through to comprise in images of gestures obtains pathological tissues intuitively Information.Compared to existing operative image processing method, it is to avoid doctor manually carries out pathological tissues identification, improve image and know Other efficiency, and without requiring that doctor has stronger pathological changes identification ability, reduce cost of labor.
Accompanying drawing explanation
The schematic flow sheet of the operative image processing method that Fig. 1 provides for the embodiment of the present invention one;
Fig. 2 is the operative image comprising pathological changes labelling shown in the embodiment of the present invention one;
The schematic flow sheet of the operative image processing method that Fig. 3 provides for the embodiment of the present invention two;
The structural representation of the operative image processing means that Fig. 4 provides for the embodiment of the present invention three;
Fig. 5 processes the schematic diagram of embodiment for the operative image that the embodiment of the present invention three provides.
Detailed description of the invention
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just Part related to the present invention is illustrate only rather than entire infrastructure in description, accompanying drawing.
Embodiment one
The schematic flow sheet of the operative image processing method that Fig. 1 provides for the embodiment of the present invention one, the method can be by hands Art image processing apparatus performs, and wherein this device can be realized by software and/or hardware.As it is shown in figure 1, this realizes flow process bag Include:
The operative image of the operative region that step 11, acquisition image capture device gather.
In the present embodiment, image capture device is for gathering patient image in ultrasonic surgical, and such as, image is adopted Collection equipment can include the equipment such as endoscope and/or microscope.Concrete, in ultrasonic surgical, by endoscope and/or aobvious The image capture device alignment corrective surgery regions such as micro mirror shoot, and obtain the operative image of operative region.
Step 12, identify the characteristics of image of described operative image, and determine described operation according to the characteristics of image recognized The pathological tissues information comprised in image.
In the present embodiment, characteristics of image can comprise color characteristic, textural characteristics, shape facility or brightness etc., Pathological tissues information can comprise the positional information of pathological tissues, lesion type information, the shape information of pathological tissues or pathological changes The area information etc. of tissue.
Concrete, according to characteristics of image and the pathological tissues recognition rule of operative image, it may be determined that in operative image The pathological tissues information comprised, wherein pathological tissues recognition rule can be manually set in advance as by exper ienced doctor Preset, it is also possible to obtain according to pathological changes image in advance.
Step 13, generate pathological changes label information according to the pathological tissues information that comprises in described operative image.
In the present embodiment, pathological changes label information generates pathological changes labelling in subsequent step 14, can comprise pathological changes mark Positional information, shape information or the area information etc. of note.Concrete, according to the positional information of pathological tissues, lesion type information, The shape information of pathological tissues or the area information of pathological tissues, it may be determined that the positional information of pathological changes labelling, shape information or Area information.
Step 14, show according to described pathological changes label information and comprise the operative image of pathological changes labelling.
Concrete, in operative image, draw pathological changes labelling according to pathological changes label information, and show pathological changes labelling, with reference to figure 2, operative image comprises pathological changes labelling 01, in order to distinguished intuitively and easily by pathological changes labelling and operative image comprises Pathological tissues and normal structure.
The technical scheme that the present embodiment provides, by identifying the characteristics of image of operative image, and according to the image recognized Feature determines the pathological tissues information comprised in operative image, and pathological tissues information is added pathological changes labelling, and displaying comprises disease Becoming the operative image of labelling, the pathological changes labelling enabling doctor to pass through to comprise in images of gestures obtains pathological tissues letter intuitively Breath.Compared to existing operative image processing method, it is to avoid doctor manually carries out pathological tissues identification, improves image recognition Efficiency, and without requiring that doctor has stronger pathological changes identification ability, reduce cost of labor.
Exemplary, determine according to the characteristics of image recognized the pathological tissues information that comprises in described operative image it After, including:
Control described image capture device to focus according to the pathological tissues information comprised in described operative image and continue Continuous collection operative image.
Concrete, according to pathological tissues information, image capture device is focused, improve the operation figure of subsequent acquisition The quality of picture, such as the definition that improve operative image or centre position diseased tissue area being positioned in operative image Deng.
Embodiment two
The present embodiment is on the basis of above-described embodiment one, it is provided that a kind of new operative image processing method.Fig. 3 is this The schematic flow sheet of the operative image processing method that inventive embodiments two provides, includes as it is shown on figure 3, this realizes flow process:
The operative image of the operative region that step 21, acquisition image capture device gather.
In the present embodiment, the image used during image capture device can be the surgical operation such as endoscope or microscope is adopted Collection equipment.
Step 22, at least one characteristics of image identified in the shape of described operative image, color and blood vessel closeness.
Concrete, can use image recognition technology that operative image is made based process, to obtain operative image comprises Zones of different, obtain the characteristics of image such as the shape of zones of different, color or blood vessel closeness subsequently.
Step 23, according to the characteristics of image that recognizes and pathological tissues identification model, determine in described operative image and wrap The pathological tissues information contained.
Wherein, described pathological tissues identification model is based on what the training of pathological changes sample image obtained, and pathological changes sample image refers to Be the operative image that determines of pathological tissues information, the normal structure information characteristics of image etc. corresponding with pathological tissues.According to sick Becoming the characteristics of image such as the shape of pathological tissues information in sample image, color or blood vessel closeness, training obtains pathological tissues and knows Other model.Concrete, using the characteristics of image that recognizes as the input of pathological tissues identification model, pathological tissues identification model is defeated Go out the pathological tissues information comprised in operative image, and also normal structure information can be exported.
Exemplary, according to the characteristics of image recognized and pathological tissues identification model, determine in described operative image The pathological tissues information comprised, specifically may include that according to the characteristics of image recognized and pathological tissues grader, determines institute State the diseased tissue area comprised in operative image, and the lesion type of described diseased tissue area.
Step 24, generate pathological changes label information according to the pathological tissues information that comprises in described operative image.
Step 25, show according to described pathological changes label information and comprise the operative image of pathological changes labelling.
Concrete, can be that the diseased tissue area in operative image adds pathological changes labelling, and for different lesions type Different pathological changes labellings can be added, in order to distinguish lesion type intuitively.
The technical scheme that the present embodiment provides, by identifying the characteristics of image of operative image, and according to the image recognized Feature and pathological tissues identification model, determine the pathological tissues information comprised in operative image, adds pathological tissues information Pathological changes labelling, and show the operative image comprising pathological changes labelling, enable the pathological changes labelling that doctor passes through to comprise in images of gestures Obtain pathological tissues information intuitively.And it is possible to different pathological changes labellings can be added for different lesions type, in order to Distinguish lesion type intuitively.
Embodiment three
The structural representation of the operative image processing means that Fig. 4 provides for the embodiment of the present invention three.As shown in Figure 4, this hands The concrete structure of art image processing apparatus may include that
Image acquisition unit 31, for obtaining the operative image of the operative region that image capture device gathers;
Pathological changes recognition unit 32, for identifying the characteristics of image of described operative image, and according to the characteristics of image recognized Determine the pathological tissues information comprised in described operative image;
Label information signal generating unit 33, for generating pathological changes mark according to the pathological tissues information comprised in described operative image Note information;
Labelling display unit 34, for showing the operative image comprising pathological changes labelling according to described pathological changes label information.
Exemplary, described pathological changes recognition unit 32 specifically may be used for:
Identify at least one characteristics of image in the shape of described operative image, color and blood vessel closeness.
Exemplary, described pathological changes recognition unit 32 specifically may be used for:
According to the characteristics of image recognized and pathological tissues identification model, determine the pathological changes comprised in described operative image Organizational information, wherein said pathological tissues identification model is based on what the training of pathological changes sample image obtained.
Exemplary, described pathological changes recognition unit 32 specifically may be used for:
According to the characteristics of image recognized and pathological tissues grader, determine the pathological changes group comprised in described operative image Tissue region, and the lesion type of described diseased tissue area.
Exemplary, this operative image processing means may include that
Focusing unit, for determining, according to the characteristics of image recognized, the pathological tissues information comprised in described operative image Afterwards, control described image capture device to carry out focusing and continue to adopt according to the pathological tissues information comprised in described operative image Collection operative image.
It should be noted that above-mentioned pathological changes recognition unit is properly termed as expert identifies system, label information signal generating unit can With referred to as video superimpose unit, labelling display unit is properly termed as image-display units.
To sum up, with reference to Fig. 5, this operative image processes embodiment and may include that image capture device 41 gathers field of operation The operative image in territory, and the operative image of collection is sent to information process unit 42;The hands that information process unit 42 will gather Art image is converted into digital picture, and digital picture is sent to expert identifies system 43;Expert identifies that system 43 identifies operation The normal structure comprised in image and pathological tissues, and generate mark instruction according to recognition result;Video superimpose unit 44 foundation Mark instruction generates superimposed image information, and superimposed image information is transferred to image-display units 45;Image-display units 45 At least one identified areas is generated, to identify pathological tissues 451 and/or the district at normal structure 452 place in the image of display Territory.
The operative image processing means that the present embodiment provides, the operative image provided with any embodiment of the present invention processes Method belongs to same inventive concept, can perform the operative image processing method that any embodiment of the present invention is provided, possess execution The corresponding functional module of operative image processing method and beneficial effect.The ins and outs of the most detailed description, can See the operative image processing method that any embodiment of the present invention provides.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious change, Readjust and substitute without departing from protection scope of the present invention.Therefore, although by above example, the present invention is carried out It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.

Claims (10)

1. an operative image processing method, it is characterised in that including:
Obtain the operative image of the operative region that image capture device gathers;
Identify the characteristics of image of described operative image, and determine according to the characteristics of image recognized described operative image comprises Pathological tissues information;
Pathological changes label information is generated according to the pathological tissues information comprised in described operative image;
The operative image comprising pathological changes labelling is shown according to described pathological changes label information.
Method the most according to claim 1, it is characterised in that identify the characteristics of image of described operative image, including:
Identify at least one characteristics of image in the shape of described operative image, color and blood vessel closeness.
Method the most according to claim 1, it is characterised in that determine described operative image according to the characteristics of image recognized In the pathological tissues information that comprises, including:
According to the characteristics of image recognized and pathological tissues identification model, determine the pathological tissues comprised in described operative image Information, wherein said pathological tissues identification model is based on what the training of pathological changes sample image obtained.
Method the most according to claim 3, it is characterised in that according to the characteristics of image recognized and pathological tissues identification Model, determines the pathological tissues information comprised in described operative image, including:
According to the characteristics of image recognized and pathological tissues grader, determine the lesion tissue area comprised in described operative image Territory, and the lesion type of described diseased tissue area.
Method the most according to claim 1, it is characterised in that determine described operative image according to the characteristics of image recognized In after the pathological tissues information that comprises, including:
Control described image capture device to carry out focusing and continue to adopt according to the pathological tissues information comprised in described operative image Collection operative image.
6. an operative image processing means, it is characterised in that including:
Image acquisition unit, for obtaining the operative image of the operative region that image capture device gathers;
Pathological changes recognition unit, for identifying the characteristics of image of described operative image, and determines institute according to the characteristics of image recognized State the pathological tissues information comprised in operative image;
Label information signal generating unit, for generating pathological changes labelling letter according to the pathological tissues information comprised in described operative image Breath;
Labelling display unit, for showing the operative image comprising pathological changes labelling according to described pathological changes label information.
Device the most according to claim 6, it is characterised in that described pathological changes recognition unit specifically for:
Identify at least one characteristics of image in the shape of described operative image, color and blood vessel closeness.
Device the most according to claim 6, it is characterised in that described pathological changes recognition unit specifically for:
According to the characteristics of image recognized and pathological tissues identification model, determine the pathological tissues comprised in described operative image Information, wherein said pathological tissues identification model is based on what the training of pathological changes sample image obtained.
Device the most according to claim 8, it is characterised in that described pathological changes recognition unit specifically for:
According to the characteristics of image recognized and pathological tissues grader, determine the lesion tissue area comprised in described operative image Territory, and the lesion type of described diseased tissue area.
Device the most according to claim 6, it is characterised in that including:
Focusing unit, for determine according to the characteristics of image that recognizes the pathological tissues information that comprises in described operative image it After, control described image capture device and carry out focusing and continue to gather according to the pathological tissues information comprised in described operative image Operative image.
CN201610696040.3A 2016-08-18 2016-08-18 Surgery image processing method and surgery image processing device Pending CN106326856A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610696040.3A CN106326856A (en) 2016-08-18 2016-08-18 Surgery image processing method and surgery image processing device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610696040.3A CN106326856A (en) 2016-08-18 2016-08-18 Surgery image processing method and surgery image processing device

Publications (1)

Publication Number Publication Date
CN106326856A true CN106326856A (en) 2017-01-11

Family

ID=57743702

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610696040.3A Pending CN106326856A (en) 2016-08-18 2016-08-18 Surgery image processing method and surgery image processing device

Country Status (1)

Country Link
CN (1) CN106326856A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190679A (en) * 2018-08-08 2019-01-11 北京大学深圳医院 Parathyroid gland learns and intelligent identifying system automatically in thyroid operation
CN109215079A (en) * 2018-07-17 2019-01-15 艾瑞迈迪医疗科技(北京)有限公司 Image processing method, operation navigation device, electronic equipment, storage medium
CN109801275A (en) * 2019-01-11 2019-05-24 北京邮电大学 Potato disease detection method and system based on image recognition
CN110414607A (en) * 2019-07-31 2019-11-05 中山大学 Classification method, device, equipment and the medium of capsule endoscope image
CN114496174A (en) * 2021-12-31 2022-05-13 北京航天长峰股份有限公司 Electronic report generation method, device, equipment and medium based on operation video
CN116977320A (en) * 2023-08-14 2023-10-31 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system
CN116977320B (en) * 2023-08-14 2024-04-26 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101061513A (en) * 2004-11-22 2007-10-24 伊斯曼柯达公司 Detecting and classifying lesions in ultrasound images
CN101275943A (en) * 1997-02-24 2008-10-01 卢西德有限公司 System for facilitating pathological examination of a lesion in tissue
CN101615224A (en) * 2008-06-27 2009-12-30 西门子公司 A kind of area of computer aided recognition device and system
CN102456133A (en) * 2010-10-18 2012-05-16 索尼公司 Information processing apparatus and information processing method and program for them
CN102525660A (en) * 2012-02-17 2012-07-04 南通爱普医疗器械有限公司 Operation navigation instrument with function of automatically recognizing lesion at craniocerebral part
CN103854028A (en) * 2008-12-22 2014-06-11 赛利恩影像股份有限公司 Method and system of automated detection of lesions in medical images
CN104605824A (en) * 2015-02-10 2015-05-13 安徽信美医学工程科技有限公司 Diseased part development and projection navigation device
CN104739519A (en) * 2015-04-17 2015-07-01 中国科学院重庆绿色智能技术研究院 Force feedback surgical robot control system based on augmented reality
CN105213032A (en) * 2015-09-06 2016-01-06 北京医千创科技有限公司 Location of operation system
CN105592252A (en) * 2016-02-24 2016-05-18 河南工程学院 Enteroscope system having lesion classification analysis function and three-dimensional image display function

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101275943A (en) * 1997-02-24 2008-10-01 卢西德有限公司 System for facilitating pathological examination of a lesion in tissue
CN101061513A (en) * 2004-11-22 2007-10-24 伊斯曼柯达公司 Detecting and classifying lesions in ultrasound images
CN101615224A (en) * 2008-06-27 2009-12-30 西门子公司 A kind of area of computer aided recognition device and system
CN103854028A (en) * 2008-12-22 2014-06-11 赛利恩影像股份有限公司 Method and system of automated detection of lesions in medical images
CN102456133A (en) * 2010-10-18 2012-05-16 索尼公司 Information processing apparatus and information processing method and program for them
CN102525660A (en) * 2012-02-17 2012-07-04 南通爱普医疗器械有限公司 Operation navigation instrument with function of automatically recognizing lesion at craniocerebral part
CN104605824A (en) * 2015-02-10 2015-05-13 安徽信美医学工程科技有限公司 Diseased part development and projection navigation device
CN104739519A (en) * 2015-04-17 2015-07-01 中国科学院重庆绿色智能技术研究院 Force feedback surgical robot control system based on augmented reality
CN105213032A (en) * 2015-09-06 2016-01-06 北京医千创科技有限公司 Location of operation system
CN105592252A (en) * 2016-02-24 2016-05-18 河南工程学院 Enteroscope system having lesion classification analysis function and three-dimensional image display function

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘晓英: "《医疗内窥镜图像病变区域自动识别算法的设计与实现》", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
李超峰: "《基于支持向量机的骨肉瘤X线图像中病变区域的自动识别研究》", 《医学信息杂志》 *
沈博渊 等;: "《医学图像病变区域的识别与仿真分析》", 《激光杂志》 *
胡天策: "《机器人辅助微创心脏外科手术导航及视觉定位的研究》", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109215079A (en) * 2018-07-17 2019-01-15 艾瑞迈迪医疗科技(北京)有限公司 Image processing method, operation navigation device, electronic equipment, storage medium
CN109190679A (en) * 2018-08-08 2019-01-11 北京大学深圳医院 Parathyroid gland learns and intelligent identifying system automatically in thyroid operation
CN109801275A (en) * 2019-01-11 2019-05-24 北京邮电大学 Potato disease detection method and system based on image recognition
CN109801275B (en) * 2019-01-11 2021-09-10 北京邮电大学 Potato disease detection method and system based on image recognition
CN110414607A (en) * 2019-07-31 2019-11-05 中山大学 Classification method, device, equipment and the medium of capsule endoscope image
CN114496174A (en) * 2021-12-31 2022-05-13 北京航天长峰股份有限公司 Electronic report generation method, device, equipment and medium based on operation video
CN116977320A (en) * 2023-08-14 2023-10-31 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system
CN116977320B (en) * 2023-08-14 2024-04-26 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system

Similar Documents

Publication Publication Date Title
CN106326856A (en) Surgery image processing method and surgery image processing device
US20220331052A1 (en) Cooperation among multiple display systems to provide a healthcare user customized information
US11666222B2 (en) System and method for intraoperative video processing
CN104582622B (en) For the tracking in surgery and intervention medical procedure and the bimodulus stereo imaging system of control
JP6231885B2 (en) Medical device for examining the neck
WO2023103467A1 (en) Image processing method, apparatus and device
CN107405079A (en) Method and system for the Content Management of the video image of anatomic region
JP2010274044A (en) Surgery support apparatus, surgery support method, and surgery support program
CN111227864A (en) Method and apparatus for lesion detection using ultrasound image using computer vision
JP2016116774A (en) Image processor, image processing method, image processing system, and program
CN108629845B (en) Surgical navigation device, apparatus, system, and readable storage medium
CN103815972A (en) Automatic tracking system for operative region of laparothoracoscope and method
WO2013172311A1 (en) Ultrasound diagnostic device and image evaluation display method
JP2020531099A (en) How to spatially locate a point of interest during a surgical procedure
CN106344151A (en) Operation positioning method and system
JP6258084B2 (en) Medical image display device, medical image display system, and medical image display program
JP6476125B2 (en) Image processing apparatus and surgical microscope system
Richey et al. Soft tissue monitoring of the surgical field: detection and tracking of breast surface deformations
KR102084598B1 (en) Ai based surgery assistant system for operating lesion of bone
CN203815583U (en) Automatic tracking system for surgical area of laparoscope or thoracoscope
CN113317874A (en) Medical image processing device and medium
JP2001340327A (en) Image display method and device
JP2019037692A (en) Image processing device, image processing method, and image processing program
CN115063290B (en) Image processing method, device, equipment, system and storage medium
WO2023145503A1 (en) Medical information processing system, medical information processing method, and program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170111

RJ01 Rejection of invention patent application after publication