An efficient deep multi‐task learning structure for covid‐19 disease

Abstract COVID‐19 has had a profound global impact, necessitating the development of infection detection systems based on machine learning. This paper presents a Multi‐task architecture that addresses the classification and segmentation tasks for COVID‐19 detection. The model comprises an encoder fo...

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Bibliographic Details
Main Authors: Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.12893