Retinal multi-lesion segmentation by reinforcing single-lesion guidance with multi-view learning-Reference-Cited by-同舟云学术

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Retinal multi-lesion segmentation by reinforcing single-lesion guidance with multi-view learning

Published:2023-09 Issue: Volume:86 Page:105349
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Liyun,Fang Zhiwen,Li Ting,Xiao Yang,Zhou Joey Tianyi,Yang Feng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference45 articles.

1. Fast convolutional neural network training using selective data sampling: Application to hemorrhage detection in color fundus images;Van Grinsven;IEEE Trans. Med. Imaging,2016

2. Artificial intelligence for diabetic retinopathy screening: a review;Grzybowski;Eye,2020

3. A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images;Leontidis;Comput. Biol. Med.,2017

4. Diabetic retinopathy: current understanding, mechanisms, and treatment strategies;Duh;JCI insight,2017

5. A novel weakly supervised multitask architecture for retinal lesions segmentation on fundus images;Playout;IEEE Trans. Med. Imaging,2019

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3. Advances in retinal microaneurysms detection, segmentation and datasets for the diagnosis of diabetic retinopathy: a systematic literature review;Multimedia Tools and Applications;2024-02-13

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