CN113040707A - Human tissue lesion parameter analysis platform and method - Google Patents
Human tissue lesion parameter analysis platform and method Download PDFInfo
- Publication number
- CN113040707A CN113040707A CN202011387927.7A CN202011387927A CN113040707A CN 113040707 A CN113040707 A CN 113040707A CN 202011387927 A CN202011387927 A CN 202011387927A CN 113040707 A CN113040707 A CN 113040707A
- Authority
- CN
- China
- Prior art keywords
- human tissue
- real
- equipment
- tissue lesion
- time
- 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.)
- Withdrawn
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Endoscopes (AREA)
Abstract
The invention relates to a human tissue lesion parameter analysis platform and a method, wherein the platform comprises: the fiberscope is used for being embedded under the skin of a patient under the control of a catheter connected with the tail part of the fiberscope so as to carry out peeking action on human tissues needing to detect whether lesion occurs or not; the fiber endoscope comprises a front camera, a pressure sensor, a temperature sensor and a parallel data interface, wherein the front camera is used for carrying out camera shooting operation on human tissues needing to be detected whether pathological changes occur so as to obtain corresponding current collected images, and the parallel data interface is used for sending the current collected images to the outside of the body of a patient. The human tissue lesion parameter analysis platform and the human tissue lesion parameter analysis method are reliable in material and stable in operation. The fiber endoscope with the customized structure can be used for monitoring the lesion parameters and the environmental parameters of each human tissue in real time, so that the automation level of human tissue lesion detection is improved.
Description
Technical Field
The invention relates to the field of human tissue detection, in particular to a human tissue lesion parameter analysis platform and a human tissue lesion parameter analysis method.
Background
Tissues of the human body are classified into epithelial tissues, connective tissues, neural tissues and muscle tissues.
The tissue is the basic component of the organ, and the four tissues are combined in sequence to form a structure which has a certain shape and can complete certain physiological functions, and the structure is called as the organ, such as the stomach, the intestine and the like. Many organs are linked together to form a system that can perform a series of continuous physiological functions. For example, the digestive system is formed by connecting a series of organs such as oral cavity, pharynx, esophagus, stomach, small intestine, large intestine and anus, as well as liver, gallbladder and pancreas, and the like to complete digestion and absorption of food. In addition, there are 8 systems of locomotion, respiration, urology, reproduction, circulation, neuro and endocrine.
Currently, the following disadvantages exist when medical instruments are used to detect human tissues with possible lesions at every position: firstly, a plurality of detection instruments are needed to measure and analyze a plurality of parameters of detected human tissues, and a large amount of hardware resources are occupied; secondly, the lack of a targeted automatic identification mechanism of human tissue lesion degree leads to higher requirements on experience of medical staff in the link of manually participating in lesion detection.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a human tissue lesion parameter analysis platform which can adopt a fiber endoscope with a customized structure to perform real-time monitoring on lesion parameters and environmental parameters of each human tissue so as to improve the automation level of human tissue lesion detection.
Therefore, the invention at least needs to have the following two key points:
(1) the fiber endoscope which adopts a customized structure and comprises a front camera, a pressure sensor, a temperature sensor and a parallel data interface is used for detecting various parameters of human tissues which need to be detected whether pathological changes occur;
(2) determining a human tissue survival degree inversely proportional to the similarity degree based on the similarity degree of the human tissue entity and the reference human tissue.
According to an aspect of the present invention, there is provided a human tissue lesion parameter resolution platform, comprising:
the fiberscope is used for being embedded under the skin of a patient under the control of a catheter connected with the tail part of the fiberscope so as to carry out peeking action on human tissues needing to detect whether lesion occurs or not;
the fiber endoscope comprises a front camera, a pressure sensor, a temperature sensor and a parallel data interface, wherein the front camera is used for carrying out camera shooting operation on human tissues needing to be detected whether pathological changes occur so as to obtain corresponding current acquisition images, and the parallel data interface is used for sending the current acquisition images to the outside of the body of a patient;
the contrast retaining device is arranged in the control box near the hospital bed, is connected with the parallel data interface, and is used for executing the treatment of retaining the boundary of two parts with obvious color or bright and dark contrast in the received current acquired image so as to obtain and output a corresponding contrast retaining image;
the real-time enhancement equipment is positioned on the left side of the contrast retaining equipment, is connected with the contrast retaining equipment and is used for executing image frequency domain enhancement processing on the received contrast retaining image so as to obtain and output a corresponding real-time enhanced image;
the sharpening processing device is positioned at the right side of the contrast retaining device, is connected with the real-time enhancement device and is used for carrying out sharpening processing based on a USM filter on the received real-time enhancement image so as to obtain and output a corresponding instant sharpened image;
the data storage chip is arranged in the control box near the sickbed and is used for storing imaging patterns which only comprise human tissues and are shot when the non-pathological change state corresponding to the human tissues which are required to be detected whether pathological change occurs is detected;
the similarity extraction mechanism is respectively connected with the sharpening processing equipment and the data storage chip and is used for carrying out similarity analysis on an imaging region of human tissues needing to detect whether lesions occur in the instant sharpened image and the imaging pattern so as to obtain a corresponding similarity grade, wherein the greater the similarity grade is, the higher the similarity of the imaging region and the imaging pattern is;
and the information analysis equipment is connected with the similarity extraction mechanism and is used for determining the human tissue survival degree inversely proportional to the similarity grade.
According to another aspect of the invention, a human tissue lesion parameter analyzing method is further provided, and the method comprises the step of using the human tissue lesion parameter analyzing platform as described above to perform targeted field analysis operation on lesion parameters of human tissues by using a fiberscope.
The human tissue lesion parameter analysis platform and the human tissue lesion parameter analysis method are reliable in material and stable in operation. The fiber endoscope with the customized structure can be used for monitoring the lesion parameters and the environmental parameters of each human tissue in real time, so that the automation level of human tissue lesion detection is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a working scene of a fiberscope of a human tissue lesion parameter analysis platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the platform and method for analyzing parameters of human tissue lesions according to the present invention will be described in detail with reference to the accompanying drawings.
The fiber endoscope is a medical instrument which uses the combination of optical fibers and a lens to conduct light and images, enters a human body through a natural pore canal or an operation incision of the human body and is used for inspecting tissue structures which are difficult to reach inside the human body.
The fiber endoscope mainly comprises an objective lens system, an optical image transmission system and an observation eyepiece lens system. It enters the human body through natural orifices or surgical incisions to realize the imaging and diagnosis of the tissues in the body.
There are two fiber optic bundles within the scope: the light beam is used for transmitting the light generated by the cold light source to the surface of an observed object and illuminating the surface of the observed object; the other is called as an image bundle, tens of thousands of optical fibers with the diameter of less than 1 micron are arranged into a bundle in a row-by-row sequence, one end of each optical fiber is aligned with an ocular lens, the other end of each optical fiber is aligned with the surface of an observed object through an objective lens, and a doctor can visually see the condition of the surfaces of the visceral organs through the ocular lenses, so that the condition of an illness can be diagnosed accurately in time. The imaging device converts the optical signal into an electrical signal, and causes the internal condition photographed by the sight glass to be presented on a screen for observation. The mirror body structures of different models are not completely the same, but all have the following basic structures: a tip portion, an insertion portion, an operation portion, an eyepiece portion, a light guide hose portion, and a light guide plug portion.
Currently, the following disadvantages exist when medical instruments are used to detect human tissues with possible lesions at every position: firstly, a plurality of detection instruments are needed to measure and analyze a plurality of parameters of detected human tissues, and a large amount of hardware resources are occupied; secondly, the lack of a targeted automatic identification mechanism of human tissue lesion degree leads to higher requirements on experience of medical staff in the link of manually participating in lesion detection.
In order to overcome the defects, the invention builds a human tissue lesion parameter analysis platform and a method, and can effectively solve the corresponding technical problems.
The human tissue lesion parameter analysis platform shown according to the embodiment of the invention comprises:
the fiberscope is used for being embedded under the skin of a patient under the control of a catheter connected with the tail part of the fiberscope so as to carry out peeking action on human tissues needing to detect whether lesion occurs or not;
as shown in fig. 1, a schematic view of a working scene of a fiberscope of a human tissue lesion parameter analyzing platform according to an embodiment of the present invention is shown;
the fiber endoscope comprises a front camera, a pressure sensor, a temperature sensor and a parallel data interface, wherein the front camera is used for carrying out camera shooting operation on human tissues needing to be detected whether pathological changes occur so as to obtain corresponding current acquisition images, and the parallel data interface is used for sending the current acquisition images to the outside of the body of a patient;
the contrast retaining device is arranged in the control box near the hospital bed, is connected with the parallel data interface, and is used for executing the treatment of retaining the boundary of two parts with obvious color or bright and dark contrast in the received current acquired image so as to obtain and output a corresponding contrast retaining image;
the real-time enhancement equipment is positioned on the left side of the contrast retaining equipment, is connected with the contrast retaining equipment and is used for executing image frequency domain enhancement processing on the received contrast retaining image so as to obtain and output a corresponding real-time enhanced image;
the sharpening processing device is positioned at the right side of the contrast retaining device, is connected with the real-time enhancement device and is used for carrying out sharpening processing based on a USM filter on the received real-time enhancement image so as to obtain and output a corresponding instant sharpened image;
the data storage chip is arranged in the control box near the sickbed and is used for storing imaging patterns which only comprise human tissues and are shot when the non-pathological change state corresponding to the human tissues which are required to be detected whether pathological change occurs is detected;
the similarity extraction mechanism is respectively connected with the sharpening processing equipment and the data storage chip and is used for carrying out similarity analysis on an imaging region of human tissues needing to detect whether lesions occur in the instant sharpened image and the imaging pattern so as to obtain a corresponding similarity grade, wherein the greater the similarity grade is, the higher the similarity of the imaging region and the imaging pattern is;
and the information analysis equipment is connected with the similarity extraction mechanism and is used for determining the human tissue survival degree inversely proportional to the similarity grade.
Next, a detailed structure of the human tissue lesion parameter analysis platform of the present invention will be further described.
The human tissue lesion parameter analysis platform further comprises:
and the liquid crystal display device is arranged near the sickbed, is connected with the information analysis device and is used for receiving and displaying the human tissue survival degree.
In the human tissue lesion parameter analysis platform:
the pressure sensor is used for detecting and outputting the bearing pressure of the fiber endoscope under the skin of a patient;
wherein the temperature sensor is used for detecting and outputting the temperature of the shell of the fiber endoscope below the skin of a patient.
In the human tissue lesion parameter analysis platform:
the parallel data interface is also respectively connected with the pressure sensor and the temperature sensor and used for sending the received bearing pressure and the received shell temperature.
In the human tissue lesion parameter analysis platform:
the liquid crystal display equipment is also connected with the parallel data interface and used for receiving and displaying the bearing pressure and the shell temperature in real time.
The human tissue lesion parameter analysis platform further comprises:
and the DRAM memory chip is respectively connected with the real-time enhancing equipment and the sharpening processing equipment and is used for respectively storing the current output data/current input data of the real-time enhancing equipment and the sharpening processing equipment.
The human tissue lesion parameter analysis platform further comprises:
the optical fiber communication interface is connected with the real-time enhancement equipment and is used for sending the current sending data of the real-time enhancement equipment through a PSTN communication line;
and the ZIGBEE communication device is used for establishing wireless communication connection with the real-time enhancement device and the sharpening processing device respectively through a wireless communication network.
In the human tissue lesion parameter analysis platform:
the real-time enhancing device and the sharpening processing device are respectively realized by SOC chips with different models, and are integrated on the same printed circuit board.
The human tissue lesion parameter analysis platform further comprises:
the temperature sensing equipment is respectively connected with the real-time enhancing equipment and the sharpening processing equipment and is used for respectively detecting the shell temperatures of the real-time enhancing equipment and the sharpening processing equipment;
the flash lamp controller is positioned on one side of the front camera and used for controlling the flash lamp to be turned on and off based on real-time environment brightness;
wherein controlling the flash to turn on and off based on the real-time ambient brightness comprises: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
Meanwhile, in order to overcome the defects, the invention also provides a human tissue lesion parameter analysis method, which comprises the step of carrying out targeted field analysis operation on lesion parameters of human tissues by using the human tissue lesion parameter analysis platform and adopting a fiberscope.
In addition, in the human tissue lesion parameter analysis platform, the optical fiber is a shorthand of an optical fiber, is a fiber made of glass or plastic, and can be used as a light conduction tool. The principle of transmission is 'total reflection of light'. The fine optical fiber is enclosed in a plastic sheath so that it can be bent without breaking. Generally, a Light Emitting Diode (LED) or a laser beam is used as a transmitter at one end of the optical fiber to transmit an optical pulse to the optical fiber, and a photosensor is used as a receiver at the other end of the optical fiber to detect the pulse. In the multimode optical fiber, the core diameter is 50 μm and 62.5 μm, which are approximately equivalent to the thickness of human hair. The diameter of the single-mode optical fiber core is 8-10 μm, and 9/125 μm is commonly used. The core is surrounded by a glass envelope, commonly referred to as a cladding, of lower refractive index than the core, which keeps the light rays within the core. Further on the outside is a thin plastic outer jacket, i.e. a coating, for protecting the cladding. The optical fibers are typically bundled and protected by an outer jacket. The core is usually a double-walled concentric cylinder of silica glass with a small cross-sectional area, which is brittle and easily broken, and therefore requires the addition of a protective layer.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A human tissue lesion parameter analysis platform, comprising:
the fiberscope is used for being embedded under the skin of a patient under the control of a catheter connected with the tail part of the fiberscope so as to carry out peeking action on human tissues needing to detect whether lesion occurs or not;
the fiber endoscope comprises a front camera, a pressure sensor, a temperature sensor and a parallel data interface, wherein the front camera is used for carrying out camera shooting operation on human tissues needing to be detected whether pathological changes occur so as to obtain corresponding current acquisition images, and the parallel data interface is used for sending the current acquisition images to the outside of the body of a patient;
the contrast retaining device is arranged in the control box near the hospital bed, is connected with the parallel data interface, and is used for executing the treatment of retaining the boundary of two parts with obvious color or bright and dark contrast in the received current acquired image so as to obtain and output a corresponding contrast retaining image;
the real-time enhancement equipment is positioned on the left side of the contrast retaining equipment, is connected with the contrast retaining equipment and is used for executing image frequency domain enhancement processing on the received contrast retaining image so as to obtain and output a corresponding real-time enhanced image;
the sharpening processing device is positioned at the right side of the contrast retaining device, is connected with the real-time enhancement device and is used for carrying out sharpening processing based on a USM filter on the received real-time enhancement image so as to obtain and output a corresponding instant sharpened image;
the data storage chip is arranged in the control box near the sickbed and is used for storing imaging patterns which only comprise human tissues and are shot when the non-pathological change state corresponding to the human tissues which are required to be detected whether pathological change occurs is detected;
the similarity extraction mechanism is respectively connected with the sharpening processing equipment and the data storage chip and is used for carrying out similarity analysis on an imaging region of human tissues needing to detect whether lesions occur in the instant sharpened image and the imaging pattern so as to obtain a corresponding similarity grade, wherein the greater the similarity grade is, the higher the similarity of the imaging region and the imaging pattern is;
and the information analysis equipment is connected with the similarity extraction mechanism and is used for determining the human tissue survival degree inversely proportional to the similarity grade.
2. The human tissue lesion parameter resolution platform of claim 1, further comprising:
and the liquid crystal display device is arranged near the sickbed, is connected with the information analysis device and is used for receiving and displaying the human tissue survival degree.
3. The human tissue lesion parameter resolution platform of claim 2, wherein:
the pressure sensor is used for detecting and outputting the bearing pressure of the fiber endoscope under the skin of a patient;
wherein the temperature sensor is used for detecting and outputting the temperature of the shell of the fiber endoscope below the skin of a patient.
4. The human tissue lesion parameter resolution platform of claim 3, wherein:
the parallel data interface is also respectively connected with the pressure sensor and the temperature sensor and used for sending the received bearing pressure and the received shell temperature.
5. The human tissue lesion parameter resolution platform of claim 4, wherein:
the liquid crystal display equipment is also connected with the parallel data interface and used for receiving and displaying the bearing pressure and the shell temperature in real time.
6. The human tissue lesion parameter resolution platform of claim 5, further comprising:
and the DRAM memory chip is respectively connected with the real-time enhancing equipment and the sharpening processing equipment and is used for respectively storing the current output data/current input data of the real-time enhancing equipment and the sharpening processing equipment.
7. The human tissue lesion parameter resolution platform of claim 6, further comprising:
the optical fiber communication interface is connected with the real-time enhancement equipment and is used for sending the current sending data of the real-time enhancement equipment through a PSTN communication line;
and the ZIGBEE communication device is used for establishing wireless communication connection with the real-time enhancement device and the sharpening processing device respectively through a wireless communication network.
8. The human tissue lesion parameter resolution platform of claim 7, wherein:
the real-time enhancing device and the sharpening processing device are respectively realized by SOC chips with different models, and are integrated on the same printed circuit board.
9. The human tissue lesion parameter resolution platform of claim 8, further comprising:
the temperature sensing equipment is respectively connected with the real-time enhancing equipment and the sharpening processing equipment and is used for respectively detecting the shell temperatures of the real-time enhancing equipment and the sharpening processing equipment;
the flash lamp controller is positioned on one side of the front camera and used for controlling the flash lamp to be turned on and off based on real-time environment brightness;
wherein controlling the flash to turn on and off based on the real-time ambient brightness comprises: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
10. A method for analyzing parameters of human tissue lesion, comprising using the platform of any one of claims 1 to 9 to perform a targeted on-site analysis operation on parameters of lesion of human tissue by using a fiberscope.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011387927.7A CN113040707A (en) | 2020-12-02 | 2020-12-02 | Human tissue lesion parameter analysis platform and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011387927.7A CN113040707A (en) | 2020-12-02 | 2020-12-02 | Human tissue lesion parameter analysis platform and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113040707A true CN113040707A (en) | 2021-06-29 |
Family
ID=76507899
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011387927.7A Withdrawn CN113040707A (en) | 2020-12-02 | 2020-12-02 | Human tissue lesion parameter analysis platform and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113040707A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101317749A (en) * | 2007-06-06 | 2008-12-10 | 奥林巴斯医疗株式会社 | Endoscopic image processing apparatus |
| US20090196524A1 (en) * | 2008-02-05 | 2009-08-06 | Dts Digital Images, Inc. | System and method for sharpening of digital images |
| US20160174886A1 (en) * | 2013-09-26 | 2016-06-23 | Fujifilm Corporation | Endoscope system, processor device for endoscope system, operation method for endoscope system, and operation method for processor device |
| US20170360286A1 (en) * | 2015-03-31 | 2017-12-21 | Fujifilm Corporation | Endoscopic diagnosis apparatus, lesion portion size measurement method, program, and recording medium |
| CN108186115A (en) * | 2018-02-08 | 2018-06-22 | 北京数字精准医疗科技有限公司 | Hand-held fluorescence ultrasound merges radiography navigation system |
| CN111292252A (en) * | 2018-12-06 | 2020-06-16 | 三星电子株式会社 | Image signal processor, operating method thereof, and electronic device |
-
2020
- 2020-12-02 CN CN202011387927.7A patent/CN113040707A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101317749A (en) * | 2007-06-06 | 2008-12-10 | 奥林巴斯医疗株式会社 | Endoscopic image processing apparatus |
| US20090196524A1 (en) * | 2008-02-05 | 2009-08-06 | Dts Digital Images, Inc. | System and method for sharpening of digital images |
| US20160174886A1 (en) * | 2013-09-26 | 2016-06-23 | Fujifilm Corporation | Endoscope system, processor device for endoscope system, operation method for endoscope system, and operation method for processor device |
| US20170360286A1 (en) * | 2015-03-31 | 2017-12-21 | Fujifilm Corporation | Endoscopic diagnosis apparatus, lesion portion size measurement method, program, and recording medium |
| CN108186115A (en) * | 2018-02-08 | 2018-06-22 | 北京数字精准医疗科技有限公司 | Hand-held fluorescence ultrasound merges radiography navigation system |
| CN111292252A (en) * | 2018-12-06 | 2020-06-16 | 三星电子株式会社 | Image signal processor, operating method thereof, and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9931021B2 (en) | Method for identifying objects in a subject's ear | |
| JP6596203B2 (en) | Video endoscope system | |
| WO2018012080A1 (en) | Image processing device, image processing method, program, and surgery navigation system | |
| JPWO2018159363A1 (en) | Endoscope system and operation method thereof | |
| CN109561810B (en) | Endoscopic apparatus and method for endoscopy | |
| CN105228501A (en) | The method of work of endoscope apparatus and endoscope apparatus | |
| CN106793939A (en) | For the method and system of the diagnostic mapping of bladder | |
| KR102267509B1 (en) | The method for measuring microcirculation in cochlea and the apparatus thereof | |
| CN104244861B (en) | It is a kind of to be used for the guiding system of the guide instrument in body | |
| JP7137684B2 (en) | Endoscope device, program, control method and processing device for endoscope device | |
| JPWO2018168071A1 (en) | Imaging device, image display system, and image display method | |
| JPWO2020090729A1 (en) | Medical image processing equipment, medical image processing methods and programs, diagnostic support equipment | |
| CN111839439A (en) | Pylorus state detection system using signal analysis | |
| JP2023164610A (en) | Image processing apparatus, image processing method, and image processing system | |
| US20240142791A1 (en) | Visualizing catheter irrigation using schlieren images | |
| KR101921582B1 (en) | Medical diagnosis system, server, and method thereof | |
| CN113040707A (en) | Human tissue lesion parameter analysis platform and method | |
| US20230092920A1 (en) | Systems and methods of analyzing a kidney stone | |
| US20230036858A1 (en) | Systems and methods for machine readable identification of surgical tools in-situ | |
| US20210241457A1 (en) | Endoscope system, and image processing apparatus and image processing method used in endoscope system | |
| CN116763239A (en) | Broad spectrum fluorescent endoscope device | |
| KR101943906B1 (en) | System for recogniting epidural space | |
| CN217338517U (en) | Wide-spectrum fluorescence endoscope device | |
| CN110309783B (en) | Patient queue analysis device in endoscope room | |
| EP4289334A1 (en) | Sterile calibrating cap and methods for using the same on an endoscope |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210629 |