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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Autores principales: Zhiping Liu, Chen Wang, Xiaodong Cai, Hong Jiang, Jianhua Wang
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Diabetic retinopathy
machine learning
logistic regression
logistic regression regularized with the elastic net penalty
support vector machine
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/f84a093729d340cca6d0ff2bfd688b14
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https://doaj.org/article/f84a093729d340cca6d0ff2bfd688b14

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