AMDNet: Age-related Macular Degeneration diagnosis through retinal Fundus Images using Lightweight Convolutional Neural Network-Reference-Cited by-同舟云学术

AMDNet: Age-related Macular Degeneration diagnosis through retinal Fundus Images using Lightweight Convolutional Neural Network

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Silchar Subsection Conference (SILCON)
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Author:

Venneti Kiran¹,Kashyap Hrishikesh¹,Murugan R¹,Jagan Mohan N¹,Goel Tripti¹

Affiliation:

1. National Institute of Technology,Bio-Medical Imaging Laboratoty (BIOMIL),Department of Electronics and Communication Engineering,Silchar,Assam,India,788010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028779/10028780/10028813.pdf?arnumber=10028813

Reference28 articles.

1. Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images

2. Classification of Fundus Images Based on Deep Learning for Detecting Eye Diseases

3. Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features

4. A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

5. Local configuration pattern features for age-related macular degeneration characterization and classification

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