A lightweight deep learning model for retinal optical coherence tomography image classification-Reference-Cited by-同舟云学术

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A lightweight deep learning model for retinal optical coherence tomography image classification

Published:2022-09-22 Issue:1 Volume:33 Page:204-216
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Mathews Mili Rosline¹²³^ORCID,Anzar Sharafudeen Thaha Mohammed²³

Affiliation:

1. Department Electronics and Communication Engineering College of Engineering Attingal Kerala India

2. Department Electronics and Communication Engineering TKM College of Engineering Kollam Kerala India

3. APJ Abdul Kalam Technological University Thiruvananthapuram Kerala India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22808

Reference41 articles.

1. Clinically applicable deep learning for diagnosis and referral in retinal disease

2. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss

3. Mechanisms of Age-Related Macular Degeneration

4. Diabetic macular edema with pachychoroid features

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1. Optical coherence tomography image classification for retinal disease detection using artificial intelligence;Applications of Artificial Intelligence in Healthcare and Biomedicine;2024

2. IoT Agricultural Pest Identification Based on Multiple Convolutional Models;網際網路技術學刊;2023-07

3. Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies;PLOS ONE;2023-04-06

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