Computer-Aided Diabetic Retinopathy Diagnosis Using Conventional and Deep Learning Techniques—A Comparison
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9324-3_8
Reference37 articles.
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3. Agrawal A, Bhatnagar C, Jalal AS (2013) A survey on automated microaneurysm detection in diabetic retinopathy retinal images. In: Proceedings of the international conference on information systems and computer networks (ISCON), pp 24–29, Mathura, India
4. Akram MU, Khalid S, Tariq A, Khan SA, Azam F (2014) Detection and classification of retinal lesions for grading of diabetic retinopathy. Comput Biol Med 45:161–171
5. Al-Bander B, Al-Nuaimy W, Williams BM, Zheng Y (2018) Multiscale sequential convolutional neural networksfor simultaneous detection of fovea and optic disc. Biomed Signal Process Control 40:91–101
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