Author:
Barges Entesar,Thabet Eman
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference48 articles.
1. Afrin R, Shill PC (2019) Automatic lesions detection and classification of diabetic retinopathy using fuzzy logic. In: 2019 International conference on robotics, electrical and signal processing techniques (ICREST). IEEE, pp 527–532
2. Ahmad I (2019) Automatic detection of diabetic retinopathy from fundus images using image processing and artificial neural network
3. Akande ON, Abikoye OC, Kayode AA, Lamari Y (2020) Implementation of a framework for healthy and diabetic retinopathy retinal image recognition. Scientifica
4. Akram MU, Khalid S, Khan SA (2013) Identifiation and classifiation of microaneurysms for early detection of diabetic retinopathy. Patt Recogn 46(1). ISSN 107–116(1):0031–3203. https://doi.org/10.1016/j.patcog.2012.07.002
5. Ali KH, Tala EB, Alsaad NJ (2016) Texture features analysis using gray level co-occurrence matrix for a spine MRI images. Int J Comp Sci Inform Sec 14(9):666
Cited by
7 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