Computational Intelligent Techniques and Analysis on Automated Retinal Layer Segmentation and Detection of Retinal Diseases-Reference-Cited by-同舟云学术

Computational Intelligent Techniques and Analysis on Automated Retinal Layer Segmentation and Detection of Retinal Diseases

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Sheeba T. M.¹,Raj S. Albert Antony¹,Anand M.²

Affiliation:

1. SRM Institute of Science and Technology,College of Science and Humanities,Department of Computer Applications,Kattankulathur,Chennai,India

2. SRM Institute of Science and Technology,College of Engineering and Technology,Department of Networking and Communications,Kattankulathur, Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112832.pdf?arnumber=10112832

Reference42 articles.

1. Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

2. Quantitative Analysis of Retinal Layer Optical Intensities on Three-Dimensional Optical Coherence Tomography

3. Segmentation of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head;lee;IEEE Transactions on Medical Imaging,2010

4. Software Platform for Retinal Disease Diagnosis Through Deep Convolutional Neural Networks

5. A Threshold Selection Method from Gray-Level Histograms

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