Deep learning assisted convolutional auto-encoders framework for glaucoma detection and anterior visual pathway recognition from retinal fundus images-Reference-Cited by-同舟云学术

Deep learning assisted convolutional auto-encoders framework for glaucoma detection and anterior visual pathway recognition from retinal fundus images

Published:2022-01-26 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Saravanan Vijayalakshmi,Samuel R. Dinesh Jackson,Krishnamoorthy Sujatha,Manickam Adhiyaman

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-02928-0.pdf

Reference22 articles.

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2. Badar M, Haris M, Fatima A (2020) Application of deep learning for retinal image analysis: a review. Comput Sci Rev 35:100203

3. de Moura Lima AC, Maia LB, Pereira RMP, Junior GB, de Almeida JDS, de Paiva AC (2018) Glaucoma diagnosis over eye fundus image through deep features. In 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP) (pp. 1–4). IEEE

4. El-Rafei A, Engelhorn T, Wärntges S, Dörfler A, Hornegger J, Michelson G (2013) Glaucoma classification based on visual pathway analysis using diffusion tensor imaging. Magn Reson Imaging 31(7):1081–1091

5. Fu H, Cheng J, Xu Y, Wong DWK, Liu J, Cao X (2018a) Joint optic disc and cup segmentation based on multi-label deep network and polar transformation. IEEE Trans Med Imaging 37(7):1597–1605

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