A deep learning semantic segmentation architecture for COVID‐19 lesions discovery in limited chest CT datasets

• Published in: Expert systems Vol. 39; no. 6; pp. e12742 - n/a
• Main Authors: Khalifa, Nour Eldeen M., Manogaran, Gunasekaran, Taha, Mohamed Hamed N., Loey, Mohamed
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.07.2022; John Wiley and Sons Inc
• Subjects: Chest; Coders; Computed tomography; COVID-19; CT images; Datasets; Deep learning; Image segmentation; Lesions; Medical imaging; Original; Performance measurement; Semantic segmentation; Semantics; Training; transfer learning; Viral diseases

During the epidemic of COVID‐19, Computed Tomography (CT) is used to help in the diagnosis of patients. Most current studies on this subject appear to be focused on broad and private annotated data which are impractical to access from an organization, particularly while radiologists are fighting the...