Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
Author:
Funder
Royal Melbourne Institute of Technology
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology,General Medicine
Link
http://link.springer.com/content/pdf/10.1186/s12886-018-0954-4.pdf
Reference44 articles.
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2. Mookiah MRK, Acharya UR, Chua CK, Lim CM, Ng EYK, Laude A. Computer-aided diagnosis of diabetic retinopathy: a review. Comput Biol Med. 2013;43(12):2136–55.
3. Kaur J, Mittal D. A generalized method for the segmentation of exudates from pathological retinal fundus images. Biocybernetics Biomed Eng. 2018;38(1):27–53.
4. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1):4–14.
5. Mohamed Q, Gillies MC, Wong TY. Management of diabetic retinopathy: a systematic review. JAMA. 2007;298(8):902–16.
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