Hard exudate detection in retinal fundus images using supervised learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04402-7.pdf
Reference22 articles.
1. Besenczi R, Tóth J, Hajdu A (2016) A review on automatic analysis techniques for color fundus photographs. Comput Struct Biotechnol J 14:371–384
2. Mookiah MRK, Acharya UR, Chua CK, Min Lim C, Ng EYK, Laude A (2013) Computer-aided diagnosis of diabetic retinopathy: a review. Comput Biol Med 43:2136–2155
3. Frazao LB, Theera-Umpon N, Auephanwiriyakul S (2019) Diagnosis of diabetic retinopathy based on holistic texture and local retinal features. Inf Sci 475:44–66
4. Pratt H, Coenen F, Broadbent DM, Harding SP, Zheng Y (2016) Convolutional neural networks for diabetic retinopathy. Procedia Comput Sci 90:200–205
5. Orlando JI, Prokofyeva E, del Fresno M, Blaschko MB (2018) An ensemble deep learning based approach for red lesion detection in fundus images. Comput Methods Programs Biomed 153:115–127
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