Author:
Sawant Jyoti,Vibhute Amol D.
Reference29 articles.
1. Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3431–3440, 2015.
2. Saiprasad Ravishankar, Arpit Jain, and Anurag Mittal. Automated feature extraction for early detection of diabetic retinopathy in fundus images. In 2009 IEEE conference on computer vision and pattern recognition, pages 210–217. IEEE, 2009.
3. Dilip Singh Sisodia, Shruti Nair, and Pooja Khobragade. Diabetic retinal fundus images: Preprocessing and feature extraction for early detection of diabetic retinopathy. Biomedical and Pharmacology Journal, 10(2):615–626, 2017.
4. Nishant Dandekar, Jayesh Kulkarni, Riddhi Raut, and Karishma Raut. Extracting features from the fundus image using canny edge detection method for predetection of diabetic retinopathy. VIVA-Tech International Journal for Research and Innovation, 1(4):1–6, 2021.
5. Muthu Rama Krishnan Mookiah, U Rajendra Acharya, Roshan Joy Martis, Chua Kuang Chua, Choo Min Lim, EYK Ng, and Augustinus Laude. Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach. Knowledge-based systems, 39:9–22, 2013.