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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Bibliographic Details

Published in:	International journal of computational intelligence systems Vol. 14; no. 1; p. 1078
Main Authors:	Zhang, Wenlu, Li, Lusi, Cheong, Vincent, Fu, Bo, Aliasgari, Mehrdad
Format:	Journal Article
Language:	English
Published:	Abingdon Springer Nature B.V 01.01.2021 Springer
Subjects:	Blood vessels Coders Deep learning Dense prediction Encoder-decoder Encoders-Decoders Eye (anatomy) Feature extraction Image contrast Image segmentation Machine learning Medical imaging Neural networks Retinal blood vessel
ISSN:	1875-6883, 1875-6891, 1875-6883
Online Access:	Get full text
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