Author:
Mookiah Muthu Rama Krishnan,Acharya U. Rajendra,Chandran Vinod,Martis Roshan Joy,Tan Jen Hong,Koh Joel E. W.,Chua Chua Kuang,Tong Louis,Laude Augustinus
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference51 articles.
1. Adarsh P (2013) A novel approach for diagnosis and severity grading of diabetic maculopathy. In: 2013 international conference on advances in computing, communications and informatics (ICACCI), pp 1230–1235
2. Ahmad Fadzil MH, Izhar LI, Nugroho H, Nugroho HA (2011) Analysis of retinal fundus images for grading of diabetic retinopathy severity. Med Biol Eng Comput 49(6):693–700
3. Akram MU, Akhtar M, Javed MY (2012) An automated system for the grading of diabetic maculopathy in fundus images. In: Huang T, Zeng Z, Li C, Leung CS (eds) Neural information processing. Springer, pp 36–43
4. Ang MH, Acharya UR, Sree SV, Lim T-C, Suri JS (2011) Computer-based identification of diabetic maculopathy stages using fundus images. In: Multi modality state-of-the-art medical image segmentation and registration methodologies. Springer, pp 377–399
5. Bock R, Meier J, Nyúl LG, Hornegger J, Michelson G (2010) Glaucoma risk index: automated glaucoma detection from color fundus images. Med Image Anal 14(3):471–481
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