Attention mechanism and mixup data augmentation for classification of COVID-19 Computed Tomography images

The Coronavirus disease is quickly spreading all over the world and the emergency situation is still out of control. Latest achievements of deep learning algorithms suggest the use of deep Convolutional Neural Network to implement a computer-aided diagnostic system for automatic classification of CO...

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Bibliographic Details

Published in:	Journal of King Saud University. Computer and information sciences Vol. 34; no. 8; pp. 6199 - 6207
Main Authors:	Özdemir, Özgür, Sönmez, Elena Battini
Format:	Journal Article
Language:	English
Published:	Saudi Arabia Elsevier B.V 01-09-2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University Elsevier
Subjects:	Attention Classification Computed Tomography (CT) images COVID-19 Data augmentation Mixup COVID-19 Mixup Data augmentation Classification Computed Tomography (CT) images Attention
Online Access:	Get full text
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