Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms

Author:

Shinde Rutuja

Publisher

Elsevier BV

Subject

General Medicine

Reference37 articles.

1. Image modeling of the human eye;Acharya,2008

2. A novel approach to detect glaucoma in retinal fundus images using cup-disk and rim-disk ratio;Agarwal,2015

3. Detection of glaucoma using retinal fundus images;Ahmad,2014

4. Semi-supervised transfer learning for convolutional neural networks for glaucoma detection;Al Ghamdi,2019

5. Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques;Aquino;IEEE Trans Med Imag,2010

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