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

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