CN110613483A - 一种基于机器学习检测胎儿颅脑异常的方法和系统 - Google Patents
一种基于机器学习检测胎儿颅脑异常的方法和系统 Download PDFInfo
- Publication number
- CN110613483A CN110613483A CN201910845939.0A CN201910845939A CN110613483A CN 110613483 A CN110613483 A CN 110613483A CN 201910845939 A CN201910845939 A CN 201910845939A CN 110613483 A CN110613483 A CN 110613483A
- Authority
- CN
- China
- Prior art keywords
- layer
- craniocerebral
- size
- fetal
- convolution
- 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.)
- Granted
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0808—Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of the brain
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0866—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30016—Brain
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Theoretical Computer Science (AREA)
- Molecular Biology (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- Data Mining & Analysis (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Evolutionary Computation (AREA)
- Veterinary Medicine (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Animal Behavior & Ethology (AREA)
- Computational Linguistics (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Neurology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Gynecology & Obstetrics (AREA)
- Pregnancy & Childbirth (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Image Analysis (AREA)
Abstract
Description
准确率 | 召回率 | |
外侧沟(LS) | 94.96% | 87.90% |
丘脑(T) | 90.16% | 89.20% |
脉络丛(CP) | 94.96% | 88.90% |
透明间隔腔(CSP) | 95.96% | 89.90% |
第三脑室(TV) | 90.96% | 91.90% |
脑中线(BM) | 88.96% | 84.90% |
颅骨(S) | 93.96% | 88.90% |
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910845939.0A CN110613483B (zh) | 2019-09-09 | 2019-09-09 | 一种基于机器学习检测胎儿颅脑异常的系统 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910845939.0A CN110613483B (zh) | 2019-09-09 | 2019-09-09 | 一种基于机器学习检测胎儿颅脑异常的系统 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110613483A true CN110613483A (zh) | 2019-12-27 |
CN110613483B CN110613483B (zh) | 2022-05-20 |
Family
ID=68922624
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910845939.0A Active CN110613483B (zh) | 2019-09-09 | 2019-09-09 | 一种基于机器学习检测胎儿颅脑异常的系统 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110613483B (zh) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111223092A (zh) * | 2020-02-28 | 2020-06-02 | 长沙大端信息科技有限公司 | 胎儿超声切面图像自动质控系统及检测方法 |
CN111899253A (zh) * | 2020-08-07 | 2020-11-06 | 长沙大端信息科技有限公司 | 胎儿颅脑切面图像的异常判断分析方法及装置 |
CN111932513A (zh) * | 2020-08-07 | 2020-11-13 | 深圳市妇幼保健院 | 一种超声图像中胎儿脑沟回三维立体图像成像方法和系统 |
CN111951268A (zh) * | 2020-08-11 | 2020-11-17 | 长沙大端信息科技有限公司 | 颅脑超声图像并行分割方法及装置 |
CN112215806A (zh) * | 2020-09-24 | 2021-01-12 | 广州爱孕记信息科技有限公司 | 胎儿超声影像的检测结果的输出控制方法、装置及系统 |
WO2022062455A1 (zh) * | 2020-09-24 | 2022-03-31 | 广州爱孕记信息科技有限公司 | 基于胎儿超声图像的胎儿严重畸形检测方法及装置 |
CN114399493A (zh) * | 2022-01-14 | 2022-04-26 | 汕头市超声仪器研究所股份有限公司 | 超声颅脑异常区域自动检测及显示方法 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107563446A (zh) * | 2017-09-05 | 2018-01-09 | 华中科技大学 | 一种微操作系统目标检测方法 |
CN107569257A (zh) * | 2017-09-29 | 2018-01-12 | 深圳开立生物医疗科技股份有限公司 | 超声图像处理方法及系统、超声诊断设备 |
WO2019034546A1 (en) * | 2017-08-17 | 2019-02-21 | Koninklijke Philips N.V. | ULTRASONIC SYSTEM CAPABLE OF EXTRACTING IMAGE PLANS FROM IMAGE INTERACTION VOLUME DATA WITH AN IMAGE |
US20190114462A1 (en) * | 2017-10-15 | 2019-04-18 | Alethio Co. | Signal translation system and signal translation method |
CN110033020A (zh) * | 2019-03-07 | 2019-07-19 | 李胜利 | 基于深度学习的胎儿超声图像中标准切面图像识别方法及识别系统 |
-
2019
- 2019-09-09 CN CN201910845939.0A patent/CN110613483B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019034546A1 (en) * | 2017-08-17 | 2019-02-21 | Koninklijke Philips N.V. | ULTRASONIC SYSTEM CAPABLE OF EXTRACTING IMAGE PLANS FROM IMAGE INTERACTION VOLUME DATA WITH AN IMAGE |
CN107563446A (zh) * | 2017-09-05 | 2018-01-09 | 华中科技大学 | 一种微操作系统目标检测方法 |
CN107569257A (zh) * | 2017-09-29 | 2018-01-12 | 深圳开立生物医疗科技股份有限公司 | 超声图像处理方法及系统、超声诊断设备 |
US20190114462A1 (en) * | 2017-10-15 | 2019-04-18 | Alethio Co. | Signal translation system and signal translation method |
CN110033020A (zh) * | 2019-03-07 | 2019-07-19 | 李胜利 | 基于深度学习的胎儿超声图像中标准切面图像识别方法及识别系统 |
Non-Patent Citations (1)
Title |
---|
刘鑫童: "深度卷积神经网络在甲状腺超声图像中的分类研究", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑 (月刊) 》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111223092A (zh) * | 2020-02-28 | 2020-06-02 | 长沙大端信息科技有限公司 | 胎儿超声切面图像自动质控系统及检测方法 |
CN111899253A (zh) * | 2020-08-07 | 2020-11-06 | 长沙大端信息科技有限公司 | 胎儿颅脑切面图像的异常判断分析方法及装置 |
CN111932513A (zh) * | 2020-08-07 | 2020-11-13 | 深圳市妇幼保健院 | 一种超声图像中胎儿脑沟回三维立体图像成像方法和系统 |
CN111899253B (zh) * | 2020-08-07 | 2024-06-07 | 深圳蓝湘智影科技有限公司 | 胎儿颅脑切面图像的异常判断分析方法及装置 |
CN111951268A (zh) * | 2020-08-11 | 2020-11-17 | 长沙大端信息科技有限公司 | 颅脑超声图像并行分割方法及装置 |
CN111951268B (zh) * | 2020-08-11 | 2024-06-07 | 深圳蓝湘智影科技有限公司 | 颅脑超声图像并行分割方法及装置 |
CN112215806A (zh) * | 2020-09-24 | 2021-01-12 | 广州爱孕记信息科技有限公司 | 胎儿超声影像的检测结果的输出控制方法、装置及系统 |
WO2022062455A1 (zh) * | 2020-09-24 | 2022-03-31 | 广州爱孕记信息科技有限公司 | 基于胎儿超声图像的胎儿严重畸形检测方法及装置 |
CN114399493A (zh) * | 2022-01-14 | 2022-04-26 | 汕头市超声仪器研究所股份有限公司 | 超声颅脑异常区域自动检测及显示方法 |
CN114399493B (zh) * | 2022-01-14 | 2024-06-11 | 汕头市超声仪器研究所股份有限公司 | 超声颅脑异常区域自动检测及显示方法 |
Also Published As
Publication number | Publication date |
---|---|
CN110613483B (zh) | 2022-05-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110613483B (zh) | 一种基于机器学习检测胎儿颅脑异常的系统 | |
Rong et al. | Surrogate-assisted retinal OCT image classification based on convolutional neural networks | |
CN111488914B (zh) | 一种基于多任务学习的阿尔茨海默症分类及预测系统 | |
Ahmed et al. | Single volume image generator and deep learning-based ASD classification | |
CN110506278A (zh) | 隐空间中的目标检测 | |
CN107563434B (zh) | 一种基于三维卷积神经网络的脑部mri图像分类方法、装置 | |
CN112164082A (zh) | 基于3d卷积神经网络分割多模态mr脑部图像方法 | |
CN112348785B (zh) | 一种癫痫病灶定位方法及系统 | |
CN113052800B (zh) | 一种阿尔茨海默症影像分析方法与装置 | |
WO2021212715A1 (zh) | 精神分裂症分类识别方法、运行控制装置及医疗设备 | |
CN112465058A (zh) | 改进GoogLeNet神经网络下多模态医学图像分类方法 | |
WO2023198224A1 (zh) | 一种精神障碍类磁共振图像初步筛查模型构建方法 | |
CN115409764A (zh) | 一种基于域自适应的多模态眼底血管分割方法及装置 | |
CN116758336A (zh) | 一种基于人工智能的医学图像智能分析系统 | |
CN114399493B (zh) | 超声颅脑异常区域自动检测及显示方法 | |
CN111932513A (zh) | 一种超声图像中胎儿脑沟回三维立体图像成像方法和系统 | |
Suberi et al. | Deep transfer learning application for automated ischemic classification in posterior fossa CT images | |
CN113786185B (zh) | 一种基于卷积神经网络的静态脑网络特征提取方法和系统 | |
CN114332910A (zh) | 一种面向远红外图像的相似特征计算的人体部位分割方法 | |
CN114266774A (zh) | 一种基于平扫ct图像诊断肺栓塞的方法、设备及系统 | |
CN116503548A (zh) | 牙齿和牙槽骨图像分割重构方法及系统 | |
Lavanya | Combined diagnosis of diabetic retinopathy and glaucoma using non-linear features | |
CN110930349A (zh) | 一种利用卷积神经网络的医学图像处理装置与方法 | |
CN112766333B (zh) | 医学影像处理模型训练方法、医学影像处理方法及装置 | |
CN114305387A (zh) | 基于磁共振成像的脑小血管病变图像分类方法、设备及介质 |
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 | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200518 Address after: Room 515a266, block BCD, Lugu business center, 199 Lulong Road, Changsha hi tech Development Zone, Hunan 410205 Applicant after: Changsha Datang Information Technology Co.,Ltd. Address before: 518028 Department of ultrasound, 4th floor, building 1, Shenzhen maternal and child health hospital, No. 2004, Hongli Road, Futian District, Shenzhen City, Guangdong Province Applicant before: Li Shengli |
|
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20211123 Address after: No.1023-1063, shatai South Road, Guangzhou, Guangdong 510515 Applicant after: SOUTHERN MEDICAL University Applicant after: Hunan University Address before: 410205 room 515a266, block BCD, Lugu business center, No. 199 Lulong Road, high tech Development Zone, Changsha, Hunan Applicant before: Changsha Datang Information Technology Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20230529 Address after: 518000, 6th Floor, Building A3, Nanshan Zhiyuan, No. 1001 Xueyuan Avenue, Changyuan Community, Taoyuan Street, Nanshan District, Shenzhen, Guangdong Province Patentee after: Shenzhen Lanxiang Zhiying Technology Co.,Ltd. Address before: No.1023-1063, shatai South Road, Guangzhou, Guangdong 510515 Patentee before: SOUTHERN MEDICAL University Patentee before: HUNAN University |