SG11201701485TA - Methods and systems for assessing retinal images, and obtaining information from retinal images - Google Patents
Methods and systems for assessing retinal images, and obtaining information from retinal imagesInfo
- Publication number
- SG11201701485TA SG11201701485TA SG11201701485TA SG11201701485TA SG11201701485TA SG 11201701485T A SG11201701485T A SG 11201701485TA SG 11201701485T A SG11201701485T A SG 11201701485TA SG 11201701485T A SG11201701485T A SG 11201701485TA SG 11201701485T A SG11201701485T A SG 11201701485TA
- Authority
- SG
- Singapore
- Prior art keywords
- retinal images
- systems
- methods
- obtaining information
- assessing
- Prior art date
Links
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/14—Arrangements specially adapted for eye photography
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- 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
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
- G06V10/464—Salient features, e.g. scale invariant feature transforms [SIFT] using a plurality of salient features, e.g. bag-of-words [BoW] representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
- G06V10/993—Evaluation of the quality of the acquired pattern
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30041—Eye; Retina; Ophthalmic
-
- 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
- G06T2207/30168—Image quality inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/14—Vascular patterns
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Ophthalmology & Optometry (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Eye Examination Apparatus (AREA)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG11201701485TA SG11201701485TA (en) | 2014-08-25 | 2015-08-25 | Methods and systems for assessing retinal images, and obtaining information from retinal images |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201405206X | 2014-08-25 | ||
PCT/SG2015/050275 WO2016032397A1 (en) | 2014-08-25 | 2015-08-25 | Methods and systems for assessing retinal images, and obtaining information from retinal images |
SG11201701485TA SG11201701485TA (en) | 2014-08-25 | 2015-08-25 | Methods and systems for assessing retinal images, and obtaining information from retinal images |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201701485TA true SG11201701485TA (en) | 2017-03-30 |
Family
ID=55400138
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201701485TA SG11201701485TA (en) | 2014-08-25 | 2015-08-25 | Methods and systems for assessing retinal images, and obtaining information from retinal images |
Country Status (5)
Country | Link |
---|---|
US (1) | US10325176B2 (de) |
EP (1) | EP3186779A4 (de) |
CN (1) | CN107209933A (de) |
SG (1) | SG11201701485TA (de) |
WO (1) | WO2016032397A1 (de) |
Families Citing this family (36)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10405739B2 (en) | 2015-10-23 | 2019-09-10 | International Business Machines Corporation | Automatically detecting eye type in retinal fundus images |
US9934591B2 (en) | 2016-04-08 | 2018-04-03 | Orbital Insight, Inc. | Remote determination of quantity stored in containers in geographical region |
CA3041404A1 (en) | 2016-10-25 | 2018-05-03 | Amo Groningen B.V. | Realistic eye models to design and evaluate intraocular lenses for a large field of view |
DE102016226230B4 (de) * | 2016-12-27 | 2018-07-12 | Siemens Healthcare Gmbh | Automatisierte Bildprüfung in der Röntgenbildgebung |
US10739227B2 (en) | 2017-03-23 | 2020-08-11 | Johnson & Johnson Surgical Vision, Inc. | Methods and systems for measuring image quality |
CN107451998B (zh) * | 2017-08-08 | 2020-11-06 | 北京大恒普信医疗技术有限公司 | 一种眼底图像质量控制方法 |
WO2019082202A1 (en) * | 2017-10-23 | 2019-05-02 | Artificial Learning Systems India Private Limited | EARTHQUAKE IMAGE QUALITY ASSESSMENT SYSTEM |
CN107845088B (zh) * | 2017-10-25 | 2020-02-07 | 苏州比格威医疗科技有限公司 | 基于动态约束图搜索的视网膜oct图像中生理参数获取方法 |
AU2018376564A1 (en) | 2017-11-30 | 2020-06-04 | Amo Groningen B.V. | Intraocular lenses that improve post-surgical spectacle independent and methods of manufacturing thereof |
CN108272434B (zh) * | 2017-12-07 | 2020-06-19 | 柯鑫 | 对眼底图像进行处理的方法及装置 |
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 |
CN110037651B (zh) * | 2018-01-15 | 2022-03-25 | 江威 | 眼底图像的质量控制方法及装置 |
CA3090200A1 (en) | 2018-02-08 | 2019-08-15 | Amo Groningen B.V. | Multi-wavelength wavefront system and method for measuring diffractive lenses |
AU2019219238A1 (en) | 2018-02-08 | 2020-08-13 | Amo Groningen B.V. | Wavefront based characterization of lens surfaces based on reflections |
CN108416371A (zh) * | 2018-02-11 | 2018-08-17 | 艾视医疗科技成都有限公司 | 一种糖尿病性视网膜病变自动检测方法 |
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 |
CN108577803B (zh) * | 2018-04-26 | 2020-09-01 | 上海鹰瞳医疗科技有限公司 | 基于机器学习的眼底图像检测方法、装置及系统 |
CN110648303B (zh) * | 2018-06-08 | 2022-07-26 | 上海市第六人民医院 | 眼底图像分析方法、计算机设备和存储介质 |
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 |
CN110021009B (zh) * | 2019-01-18 | 2023-07-21 | 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 |
CN109919831B (zh) * | 2019-02-13 | 2023-08-25 | 广州视源电子科技股份有限公司 | 一种用于将视网膜眼底图像在不同图像域中迁移的方法、电子设备及计算机可读存储介质 |
CN109886946B (zh) * | 2019-02-18 | 2023-05-23 | 广州视源电子科技股份有限公司 | 基于深度学习的早期老年性黄斑病变弱监督分类方法 |
CN109697719B (zh) * | 2019-03-05 | 2021-12-24 | 北京康夫子健康技术有限公司 | 一种图像质量评估方法、装置及计算机可读存储介质 |
CN109833025A (zh) * | 2019-03-29 | 2019-06-04 | 广州视源电子科技股份有限公司 | 一种视网膜的异常检测方法、装置、设备和存储介质 |
CN111680683B (zh) * | 2019-03-30 | 2023-06-02 | 上海铼锶信息技术有限公司 | 一种roi参数的获取方法及系统 |
EP3719807A1 (de) * | 2019-04-04 | 2020-10-07 | Optos PLC | Voraussagen eines pathologischen zustandes aus einem medizinischen bild |
CN110009627B (zh) * | 2019-04-11 | 2021-06-18 | 北京康夫子健康技术有限公司 | 用于处理图像的方法和装置 |
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 |
CN112241982A (zh) * | 2019-07-18 | 2021-01-19 | 杭州海康威视数字技术股份有限公司 | 一种图像处理方法、装置及机器可读存储介质 |
CN110516579B (zh) * | 2019-08-21 | 2021-09-07 | 北京至真互联网技术有限公司 | 手持眼底相机拍照方法和装置、设备及存储介质 |
CN110942437B (zh) * | 2019-11-29 | 2022-11-08 | 石家庄铁道大学 | 基于Otsu-SSIM的自适应顶帽变换方法 |
CN111489328B (zh) * | 2020-03-06 | 2023-06-30 | 浙江工业大学 | 一种基于血管分割和背景分离的眼底图像质量评价方法 |
CN111652805B (zh) * | 2020-03-13 | 2023-05-09 | 中山大学 | 一种用于眼底图像拼接的图像预处理方法 |
WO2022149082A1 (en) * | 2021-01-06 | 2022-07-14 | Aeye Health, Inc. | Retinal imaging quality assessment and filtering method using blood vessel characteristics and visibility |
TWI784688B (zh) * | 2021-08-26 | 2022-11-21 | 宏碁股份有限公司 | 眼睛狀態評估方法及電子裝置 |
CN115311685B (zh) * | 2022-08-05 | 2023-05-02 | 杭州电子科技大学 | 一种基于平均结构相似度的毫米波图像检出结果判定方法 |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2003030073A1 (en) | 2001-10-03 | 2003-04-10 | Retinalyze Danmark A/S | Quality measure |
US20120150029A1 (en) * | 2008-12-19 | 2012-06-14 | University Of Miami | System and Method for Detection and Monitoring of Ocular Diseases and Disorders using Optical Coherence Tomography |
CA3060821C (en) * | 2008-12-19 | 2023-09-12 | University Of Miami | System and method for early detection of diabetic retinopathy using optical coherence tomography |
CN102843957A (zh) * | 2009-08-24 | 2012-12-26 | 新加坡保健服务集团有限公司 | 一种用于检测视盘出血的方法及系统 |
US9226654B2 (en) * | 2011-04-29 | 2016-01-05 | Carl Zeiss Meditec, Inc. | Systems and methods for automated classification of abnormalities in optical coherence tomography images of the eye |
US20130222767A1 (en) | 2011-10-12 | 2013-08-29 | Jun Cheng | Methods and systems for detecting peripapillary atrophy |
US20150125052A1 (en) | 2012-06-05 | 2015-05-07 | Agency For Science, Technology And Research | Drusen lesion image detection system |
WO2014031086A1 (en) | 2012-08-24 | 2014-02-27 | Agency For Science, Technology And Research | Methods and systems for automatic location of optic structures in an image of an eye, and for automatic retina cup-to-disc ratio computation |
CN102881010B (zh) * | 2012-08-28 | 2015-03-11 | 北京理工大学 | 基于人眼视觉特性的融合图像感知清晰度评价方法 |
WO2014074178A1 (en) | 2012-11-08 | 2014-05-15 | The Johns Hopkins University | System and method for detecting and classifying severity of retinal disease |
US9390327B2 (en) * | 2013-09-16 | 2016-07-12 | Eyeverify, Llc | Feature extraction and matching for biometric authentication |
EP4057215A1 (de) * | 2013-10-22 | 2022-09-14 | Eyenuk, Inc. | Systeme und verfahren zur automatischen analyse von netzhautbildern |
CN105934193A (zh) * | 2013-12-23 | 2016-09-07 | Rsbv有限责任公司 | 宽场视网膜图像采集系统和方法 |
US10719936B2 (en) * | 2017-04-27 | 2020-07-21 | Retinascan Limited | System and method for automated funduscopic image analysis |
-
2015
- 2015-08-25 SG SG11201701485TA patent/SG11201701485TA/en unknown
- 2015-08-25 EP EP15836083.4A patent/EP3186779A4/de not_active Withdrawn
- 2015-08-25 WO PCT/SG2015/050275 patent/WO2016032397A1/en active Application Filing
- 2015-08-25 US US15/506,708 patent/US10325176B2/en not_active Expired - Fee Related
- 2015-08-25 CN CN201580058074.3A patent/CN107209933A/zh active Pending
Also Published As
Publication number | Publication date |
---|---|
EP3186779A1 (de) | 2017-07-05 |
US10325176B2 (en) | 2019-06-18 |
EP3186779A4 (de) | 2018-04-04 |
WO2016032397A1 (en) | 2016-03-03 |
CN107209933A (zh) | 2017-09-26 |
US20180181833A1 (en) | 2018-06-28 |
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