CN105243669B - 眼底图像自动识别分区方法 - Google Patents
眼底图像自动识别分区方法 Download PDFInfo
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- CN105243669B CN105243669B CN201510666739.0A CN201510666739A CN105243669B CN 105243669 B CN105243669 B CN 105243669B CN 201510666739 A CN201510666739 A CN 201510666739A CN 105243669 B CN105243669 B CN 105243669B
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- 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
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- 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
- G06T2207/10004—Still image; Photographic image
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- 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
- G06T2207/10024—Color image
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- 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
- G06T2207/30041—Eye; Retina; Ophthalmic
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- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
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- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
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CN105243669A CN105243669A (zh) | 2016-01-13 |
CN105243669B true CN105243669B (zh) | 2018-05-04 |
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Families Citing this family (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105809188B (zh) * | 2016-02-26 | 2017-08-08 | 山东大学 | 一种基于ambp改进算法的真菌性角膜炎图像识别方法 |
CN106650596A (zh) * | 2016-10-10 | 2017-05-10 | 北京新皓然软件技术有限责任公司 | 一种眼底图像分析方法、装置及系统 |
CN106780439B (zh) * | 2016-11-29 | 2019-05-28 | 瑞达昇医疗科技(大连)有限公司 | 一种筛选眼底图像的方法 |
CN107292877B (zh) * | 2017-07-05 | 2020-07-03 | 北京至真互联网技术有限公司 | 一种基于眼底图像特征的左右眼识别方法 |
CN108416344B (zh) * | 2017-12-28 | 2021-09-21 | 中山大学中山眼科中心 | 眼底彩照视盘与黄斑定位识别方法 |
CN108447552A (zh) * | 2018-03-05 | 2018-08-24 | 四川和生视界医药技术开发有限公司 | 视网膜血管的编辑方法以及视网膜血管的编辑装置 |
CN108510446B (zh) * | 2018-04-10 | 2023-03-14 | 四川和生视界医药技术开发有限公司 | 视网膜图像的叠加方法及视网膜图像的叠加装置 |
CN108460766B (zh) * | 2018-04-12 | 2022-02-25 | 四川和生视界医药技术开发有限公司 | 一种视网膜图像清晰度评估方法以及评估装置 |
CN108734102A (zh) * | 2018-04-18 | 2018-11-02 | 佛山市顺德区中山大学研究院 | 一种基于深度学习的左右眼识别算法 |
CN108717696B (zh) * | 2018-05-16 | 2022-04-22 | 上海鹰瞳医疗科技有限公司 | 黄斑影像检测方法和设备 |
CN110930446B (zh) * | 2018-08-31 | 2024-03-19 | 福州依影健康科技有限公司 | 一种眼底图像定量分析的前置处理方法及存储设备 |
CN110870759A (zh) * | 2018-08-31 | 2020-03-10 | 福州依影健康科技有限公司 | 用于远程眼底筛查的质量控制方法和系统、及存储设备 |
CN111402184B (zh) * | 2018-12-13 | 2023-05-02 | 福州依影健康科技有限公司 | 一种实现远程眼底筛查和健康服务的方法和系统 |
CN111325631B (zh) * | 2018-12-14 | 2022-06-24 | 福州依影健康科技有限公司 | 一种基于眼底图像的健康保险控费的方法和系统 |
EP3719808A1 (en) * | 2019-04-04 | 2020-10-07 | Optos PLC | Determining levels of hypertension from retinal vasculature images |
CN110335254B (zh) * | 2019-06-10 | 2021-07-27 | 北京至真互联网技术有限公司 | 眼底图像区域化深度学习方法、装置和设备及存储介质 |
CN111046717B (zh) * | 2019-10-11 | 2024-01-30 | 平安科技(深圳)有限公司 | 眼底图像黄斑中心定位方法、装置、电子设备及存储介质 |
CN111192325A (zh) * | 2019-12-30 | 2020-05-22 | 广州乌扑信息科技有限公司 | 一种标准的rop读片辅助系统 |
Citations (4)
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CN1378166A (zh) * | 2002-04-29 | 2002-11-06 | 华南理工大学 | 同侧眼底医学图像计算机辅助特征套合识别方法 |
US7055955B2 (en) * | 2001-02-27 | 2006-06-06 | Canon Kabushiki Kaisha | Eye fundus examination apparatus |
CN102283634A (zh) * | 2011-07-12 | 2011-12-21 | 曹米莎 | 一种基于图像识别的眼底图像检验方法及系统 |
CN103870838A (zh) * | 2014-03-05 | 2014-06-18 | 南京航空航天大学 | 糖尿病视网膜病变的眼底图像特征提取方法 |
-
2015
- 2015-10-15 CN CN201510666739.0A patent/CN105243669B/zh active Active
Patent Citations (4)
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US7055955B2 (en) * | 2001-02-27 | 2006-06-06 | Canon Kabushiki Kaisha | Eye fundus examination apparatus |
CN1378166A (zh) * | 2002-04-29 | 2002-11-06 | 华南理工大学 | 同侧眼底医学图像计算机辅助特征套合识别方法 |
CN102283634A (zh) * | 2011-07-12 | 2011-12-21 | 曹米莎 | 一种基于图像识别的眼底图像检验方法及系统 |
CN103870838A (zh) * | 2014-03-05 | 2014-06-18 | 南京航空航天大学 | 糖尿病视网膜病变的眼底图像特征提取方法 |
Non-Patent Citations (3)
Title |
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基于视网膜血管末梢分割的黄斑定位方法研究;郑耀武;《中国优秀硕士学位论文全文数据库 医药卫生科技辑》;20140615;正文第37页 * |
眼底图像中黄斑中心与视盘自动检测新方法;郑绍华;《电子与信息学报》;20141130;第36卷(第11期);第2586-2591页 * |
眼底图像处理与分析中的关键技术研究;王玉亮;《中国博士学位论文全文数据库 信息科技辑》;20141115;正文第16页图2-4 * |
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