CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans-Reference-Cited by-同舟云学术

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans

Published:2021-09 Issue: Volume:70 Page:103030
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Hassan Bilal^ORCID,Qin Shiyin,Hassan Taimur,Akram Muhammad Usman,Ahmed Ramsha,Werghi Naoufel^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference62 articles.

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3. A comprehensive study capturing vision loss burden in Pakistan (1990-2025): Findings from the global burden of disease (GBD) 2017 study;Hassan;PLoS One,2019

4. Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy;Das;Biomed. Signal Process. Control,2021

5. Exploiting the transferability of deep learning systems across multi-modal retinal scans for extracting retinopathy lesions;Hassan,2020

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