Multiocular disease detection using a generic framework based on handcrafted and deep learned feature analysis-Reference-Cited by-同舟云学术

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Multiocular disease detection using a generic framework based on handcrafted and deep learned feature analysis

Published:2023-02 Issue: Volume:17 Page:200184
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

M Raveenthini,R Lavanya^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference30 articles.

1. Pre-diagnosis of diabetic retinopathy using blob detection;Dharmana,2020

2. Automatic feature learning for glaucoma detection based on deep learning;Chen,2015

3. Computer-aided diagnosis of diabetic retinopathy: A review;Mookiah;Computers in biology and medicine,2013

4. Superpixel based segmentation for multilesion detection in diabetic retinopathy;Praveena,2019

5. Detection of neovascularization in diabetic retinopathy;Hassan;Journal of digital imaging,2012

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1. Automated Glaucoma Detection Techniques: an Article Review;2024-03-13

2. A Semi-supervised Convolutional Autoencoder Framework using Transfer-learning based Pseudo-label Generation for Glaucoma Diagnosis;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

3. Medical Image Analysis using Distributed Deep Learning Models;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

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