Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods

Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods

The goal was to discriminate between diabetic retinopathy (DR) and healthy controls (HC) by evaluating Optical coherence tomography angiography (OCTA) images from <inline-formula> <tex-math notation="LaTeX">$3\times 3$ </tex-math></inline-formula> mm scans with the...

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Détails bibliographiques
Auteurs principaux: Zhiping Liu, Chen Wang, Xiaodong Cai, Hong Jiang, Jianhua Wang
Format: article
Langue:EN
Publié: IEEE 2021
Sujets:
Diabetic retinopathy
machine learning
logistic regression
logistic regression regularized with the elastic net penalty
support vector machine
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Accès en ligne:https://doaj.org/article/f84a093729d340cca6d0ff2bfd688b14
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https://doaj.org/article/f84a093729d340cca6d0ff2bfd688b14

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