CN114494734A - 基于眼底图像的病变检测方法、装置、设备及存储介质 - Google Patents

基于眼底图像的病变检测方法、装置、设备及存储介质 Download PDF

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CN114494734A
CN114494734A CN202210073516.3A CN202210073516A CN114494734A CN 114494734 A CN114494734 A CN 114494734A CN 202210073516 A CN202210073516 A CN 202210073516A CN 114494734 A CN114494734 A CN 114494734A
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image
fundus
network
acquiring
feature
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郑喜民
王天誉
舒畅
陈又新
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Priority to CN202210073516.3A priority Critical patent/CN114494734A/zh
Priority to PCT/CN2022/090164 priority patent/WO2023137904A1/fr
Publication of CN114494734A publication Critical patent/CN114494734A/zh
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/253Fusion techniques of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10101Optical tomography; Optical coherence tomography [OCT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30041Eye; Retina; Ophthalmic

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
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CN202210073516.3A 2022-01-21 2022-01-21 基于眼底图像的病变检测方法、装置、设备及存储介质 Pending CN114494734A (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202210073516.3A CN114494734A (zh) 2022-01-21 2022-01-21 基于眼底图像的病变检测方法、装置、设备及存储介质
PCT/CN2022/090164 WO2023137904A1 (fr) 2022-01-21 2022-04-29 Procédé et appareil de détection de lésion basée sur une image de fond d'œil, dispositif, et support de stockage

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CN202210073516.3A CN114494734A (zh) 2022-01-21 2022-01-21 基于眼底图像的病变检测方法、装置、设备及存储介质

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WO (1) WO2023137904A1 (fr)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190191988A1 (en) * 2016-09-02 2019-06-27 Spect Inc. Screening method for automated detection of vision-degenerative diseases from color fundus images
CN110021009A (zh) * 2019-01-18 2019-07-16 平安科技(深圳)有限公司 一种评估眼底图像质量的方法、装置及存储介质
CN110766656A (zh) * 2019-09-19 2020-02-07 平安科技(深圳)有限公司 筛查眼底黄斑区异常的方法、装置、设备和存储介质
CN112446860A (zh) * 2020-11-23 2021-03-05 中山大学中山眼科中心 一种基于迁移学习的糖尿病黄斑水肿自动筛查方法
CN112884729A (zh) * 2021-02-04 2021-06-01 北京邮电大学 基于双模态深度学习的眼底疾病辅助诊断方法和装置
CN112883962A (zh) * 2021-01-29 2021-06-01 北京百度网讯科技有限公司 眼底图像识别方法、装置、设备、存储介质以及程序产品
CN112991343A (zh) * 2021-04-30 2021-06-18 北京至真互联网技术有限公司 眼底图像黄斑区域的识别检测方法和装置及设备

Family Cites Families (2)

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Publication number Priority date Publication date Assignee Title
US11074495B2 (en) * 2013-02-28 2021-07-27 Z Advanced Computing, Inc. (Zac) System and method for extremely efficient image and pattern recognition and artificial intelligence platform
CN113011485B (zh) * 2021-03-12 2023-04-07 北京邮电大学 多模态多病种长尾分布眼科疾病分类模型训练方法和装置

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190191988A1 (en) * 2016-09-02 2019-06-27 Spect Inc. Screening method for automated detection of vision-degenerative diseases from color fundus images
CN110021009A (zh) * 2019-01-18 2019-07-16 平安科技(深圳)有限公司 一种评估眼底图像质量的方法、装置及存储介质
CN110766656A (zh) * 2019-09-19 2020-02-07 平安科技(深圳)有限公司 筛查眼底黄斑区异常的方法、装置、设备和存储介质
CN112446860A (zh) * 2020-11-23 2021-03-05 中山大学中山眼科中心 一种基于迁移学习的糖尿病黄斑水肿自动筛查方法
CN112883962A (zh) * 2021-01-29 2021-06-01 北京百度网讯科技有限公司 眼底图像识别方法、装置、设备、存储介质以及程序产品
CN112884729A (zh) * 2021-02-04 2021-06-01 北京邮电大学 基于双模态深度学习的眼底疾病辅助诊断方法和装置
CN112991343A (zh) * 2021-04-30 2021-06-18 北京至真互联网技术有限公司 眼底图像黄斑区域的识别检测方法和装置及设备

Non-Patent Citations (1)

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Title
刘建成: "《临床常见五官科疾病诊治》", 31 August 2021, 江西科学技术出版社, pages: 79 - 82 *

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