Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography-Reference-Cited by-同舟云学术

Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography

Published:2022-12-05 Issue:1 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Elmoufidi Abdelali,Ammoun Hind

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01482-6.pdf

Reference46 articles.

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3. Darshit D, Aniket S, Deep S, Prachi G. Diabetic retinopathy detection using deep convolutional neural networks. In: 2016 International Conference on Computing, Analytics and Security Trends (CAST), IEEE, 2016, pp. 261–6.

4. Dang NHT, Nguyen HH, Prayag T, Surya Prasath VB, et al. Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation. Comput Opt. 2021;45(1):122–9.

5. Kashan Z, Syed OG, Asim W, Ali A, Mohsin J, Muhammad NK, Amer SK. Skin lesion segmentation from dermoscopic images using convolutional neural network. Sensors. 2020;20(6):1601.

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