Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images

• Main Authors: Barua, Prabal Datta, Chan, Wai Yee, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ciaccio, Edward J., Islam, Nazrul, Cheong, Kang Hao, Shahid, Zakia Sultana, Acharya, U. Rajendra
• Format: Article
• Published: MDPI 2021
• Subjects: QC Physics; R Medicine; R Medicine (General); Medical technology; RE Ophthalmology
• Online Access: http://eprints.um.edu.my/34327/

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...