Blood vessel segmentation using deep learning architectures for aid diagnosis of diabetic retinopathy-Reference-Cited by-同舟云学术

Blood vessel segmentation using deep learning architectures for aid diagnosis of diabetic retinopathy

Published:2022-11-15 Issue: Volume: Page:1-15
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Elaouaber Z.A.¹,Feroui A.¹,Lazouni M.E.A.¹,Messadi M.¹

Affiliation:

1. Biomedical engineering, Universite Abou Bekr Belkaid Tlemcen Faculte de Technologie, Algeria, Tlemcen

Funder

University of Tlemcen

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

Reference30 articles.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Diabetic retinopathy detection using modified U-Net architecture and artificial metaplasticity algorithm;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. Decorrelation stretch for enhancing colour fundus photographs affected by cataracts;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-11-02