Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network

Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network

Abstract Because retinal hemorrhage is one of the earliest symptoms of diabetic retinopathy, its accurate identification is essential for early diagnosis. One of the major obstacles ophthalmologists face in making a quick and effective diagnosis is viewing too many images to manually identify lesion...

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Bibliographic Details
Main Authors: Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Journal of Big Data
Subjects:
Diabetic retinopathy
Fundus images
Segmentation
Detection
Deep learning
Convolutional neural networks
Online Access:https://doi.org/10.1186/s40537-022-00632-0

Internet

https://doi.org/10.1186/s40537-022-00632-0

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