Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-019-04575-w
Abstract: Purpose To automatically detect and classify the lesions of diabetic retinopathy (DR) in fundus fluorescein angiography (FFA) images using deep learning algorithm through comparing 3 convolutional neural networks (CNNs). Methods A total of 4067 FFA… read more here.
Keywords: diabetic retinopathy; multi label; retinal lesions; lesions diabetic ... See more keywords
Malodorous Skin Lesions in a Diabetic Patient: Infectious Versus Neoplastic
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DOI: 10.1093/ajcp/aqz121.022
Abstract: Primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma is a rare entity accounting for read more here.
Keywords: skin lesions; skin; lesions diabetic; patient ... See more keywords