Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique-Reference-Cited by-同舟云学术

Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique

Published:2023-09-23 Issue:6 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Singh Piyush Bhushan,Singh Pawan,Dev Harsh,Chaurasia Brijesh Kumar

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/s42979-023-02163-8.pdf

Reference39 articles.

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4. Leskea MC, Heijl A, Hyman L, Bengtsson B, Komaroff E. Factors for progression and glaucoma treatment: the Early Manifest Glaucoma Trial. Curr Opin Ophthalmol. 2004. https://doi.org/10.1097/00055735-200404000-00008.

5. Leung CK, Chan W, Hui Y, Yung W, Woo J, Tsang M, Tse KR. Analysis of retinal nerve fiber layer and optic nerve head in glaucoma with different reference plane offsets, using optical coherence tomography. Digest World Core Med J. 2006. https://doi.org/10.1167/iovs.04-1107.