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 PDFInfo
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- 208000002780 macular degeneration Diseases 0.000 abstract description 39
- 208000035719 Maculopathy Diseases 0.000 abstract description 4
- 238000012014 optical coherence tomography Methods 0.000 description 14
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- 238000013528 artificial neural network Methods 0.000 description 4
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- FCKYPQBAHLOOJQ-UHFFFAOYSA-N Cyclohexane-1,2-diaminetetraacetic acid Chemical compound OC(=O)CN(CC(O)=O)C1CCCCC1N(CC(O)=O)CC(O)=O FCKYPQBAHLOOJQ-UHFFFAOYSA-N 0.000 description 1
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- G06T7/0002—Inspection of images, e.g. flaw detection
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- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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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 |
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)
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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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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 |
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2022
- 2022-01-21 CN CN202210073516.3A patent/CN114494734A/zh active Pending
- 2022-04-29 WO PCT/CN2022/090164 patent/WO2023137904A1/fr unknown
Patent Citations (7)
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---|---|---|---|---|
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)
Title |
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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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