Open AccessMulti-Level Dual-Attention Based CNN for Macular Optical Coherence Tomography Classification
Author(s) -
Sapna S. Mishra,
Bappaditya Mandal,
Niladri B. Puhan
Publication year - 2019
Publication title -
ieee signal processing letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 138
eISSN - 1558-2361
pISSN - 1070-9908
DOI - 10.1109/lsp.2019.2949388
Subject(s) - computer science , optical coherence tomography , artificial intelligence , convolutional neural network , feature extraction , pattern recognition (psychology) , deep learning , macular degeneration , drusen , computer vision , ophthalmology , medicine
In this letter, we propose a multi-level dual-attention model to classify two common macular diseases, age-related macular degeneration (AMD) and diabetic macular edema (DME) from normal macular eye conditions using optical coherence tomography (OCT) imaging technique. Our approach unifies the dual-attention mechanism at multi-levels of the pre-trained deep convolutional neural network (CNN). It p...
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