Deep Encoder–Decoder Neural Networks for Retinal Blood Vessels Dense Prediction

Automatic segmentation of retinal blood vessels from fundus images is of great importance in assessing the condition of vascular network in human eyes. The task is primary challenging due to the low contrast of images, the variety of vessels and potential pathology. Previous studies have proposed sh...

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Detalles Bibliográficos

Autores principales:	Wenlu Zhang, Lusi Li, Vincent Cheong, Bo Fu, Mehrdad Aliasgari
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2021-03-01
Colección:	International Journal of Computational Intelligence Systems
Materias:	Deep learning Encoder-decoder Retinal blood vessel Dense prediction
Acceso en línea:	https://www.atlantis-press.com/article/125954370/view
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