METHODS AND SYSTEMS FOR PREDICTING RATES OF PROGRESSION OF AGE-RELATED MACULAR DEGENERATION
Disclosed herein are systems and methods for predicting risk of late age-related macular degeneration (AMD). The method may include receiving one or more color fundus photograph (CFP) images from both eyes of a patient, classifying each CFP image, and predicting the risk of late AMD by estimating a time to late AMD. Classifying each CFP image may include extract one or more deep features for macular drusen and pigmentary abnormalities in each CFP image, grading the drusen and pigmentary abnormalities and/or detecting the presence of RPD in each CFP image. Predicting the risk of late AMD may include estimating a time to late AMD using a Cox proportional hazard model using the presence of RPD, the one or more deep features, and/or the graded drusen and pigmentary abnormalities..
Medienart: |
Patent |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Europäisches Patentamt - (2023) vom: 23. März Zur Gesamtaufnahme - year:2023 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
YING CHEW EMILY [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-03-23, Last update posted on www.tib.eu: 2023-06-08, Last updated: 2023-06-16 |
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Patentnummer: |
US2023093471 |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
EPA017092272 |
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245 | 1 | 0 | |a METHODS AND SYSTEMS FOR PREDICTING RATES OF PROGRESSION OF AGE-RELATED MACULAR DEGENERATION |
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520 | |a Disclosed herein are systems and methods for predicting risk of late age-related macular degeneration (AMD). The method may include receiving one or more color fundus photograph (CFP) images from both eyes of a patient, classifying each CFP image, and predicting the risk of late AMD by estimating a time to late AMD. Classifying each CFP image may include extract one or more deep features for macular drusen and pigmentary abnormalities in each CFP image, grading the drusen and pigmentary abnormalities and/or detecting the presence of RPD in each CFP image. Predicting the risk of late AMD may include estimating a time to late AMD using a Cox proportional hazard model using the presence of RPD, the one or more deep features, and/or the graded drusen and pigmentary abnormalities. | ||
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