Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images
Optical coherence tomography (OCT) images coupled with many learning techniques have been developed to diagnose retinal disorders. This work aims to develop a novel framework for extracting deep features from 18 pre-trained convolutional neural networks (CNN) and to attain high performance using OCT...
Main Authors: | Prabal Datta Barua, Wai Yee Chan, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Edward J. Ciaccio, Nazrul Islam, Kang Hao Cheong, Zakia Sultana Shahid, U. Rajendra Acharya |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/12/1651 |
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