BR112019022447A2 - sistema e método para análise de imagem funduscópica automatizada - Google Patents
sistema e método para análise de imagem funduscópica automatizada Download PDFInfo
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- BR112019022447A2 BR112019022447A2 BR112019022447A BR112019022447A BR112019022447A2 BR 112019022447 A2 BR112019022447 A2 BR 112019022447A2 BR 112019022447 A BR112019022447 A BR 112019022447A BR 112019022447 A BR112019022447 A BR 112019022447A BR 112019022447 A2 BR112019022447 A2 BR 112019022447A2
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- 238000000034 method Methods 0.000 title abstract 2
- 238000010191 image analysis Methods 0.000 title 1
- 201000010099 disease Diseases 0.000 abstract 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract 3
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 239000013598 vector Substances 0.000 abstract 2
- 206010012689 Diabetic retinopathy Diseases 0.000 abstract 1
- 230000007170 pathology Effects 0.000 abstract 1
- 230000002792 vascular Effects 0.000 abstract 1
- 208000019553 vascular disease Diseases 0.000 abstract 1
Classifications
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- 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
- G06V40/197—Matching; Classification
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
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- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
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- A—HUMAN NECESSITIES
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- 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
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- A61B3/14—Arrangements specially adapted for eye photography
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Abstract
trata-se de um sistema e método de classificação de imagens de patologia. uma imagem é recebida, normalizada e segmentada normalizando a imagem; em uma pluralidade de regiões; um vetor de doença é automaticamente determinado para a pluralidade de regiões com pelo menos um classificador compreendendo uma rede neural. cada uma das respectivas pluralidades de regiões é anotada automaticamente, com base nos vetores de doenças determinados. a imagem recebida é classificada automaticamente com base pelo menos nas anotações. a rede neural é treinada com base em pelo menos uma anotação especializada das respectivas regiões de imagens, de acordo com pelo menos um critério de classificação objetivo. as imagens podem ser imagens oculares, imagens vasculares ou imagens fundoscópicas. a doença pode ser uma doença vascular, vasculopatia ou retinopatia diabética, por exemplo.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201762490977P | 2017-04-27 | 2017-04-27 | |
PCT/US2018/029605 WO2018200840A1 (en) | 2017-04-27 | 2018-04-26 | System and method for automated funduscopic image analysis |
Publications (1)
Publication Number | Publication Date |
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BR112019022447A2 true BR112019022447A2 (pt) | 2020-06-09 |
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BR112019022447A BR112019022447A2 (pt) | 2017-04-27 | 2018-04-26 | sistema e método para análise de imagem funduscópica automatizada |
Country Status (6)
Country | Link |
---|---|
US (2) | US10719936B2 (pt) |
EP (1) | EP3616120A1 (pt) |
JP (1) | JP2020518915A (pt) |
CN (1) | CN111095261A (pt) |
BR (1) | BR112019022447A2 (pt) |
WO (1) | WO2018200840A1 (pt) |
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