Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans

Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences > Aston Centre for Artifical Intelligence Research and Application
College of Engineering & Physical Sciences
Additional Information: This is the author's accepted manuscript of an abstract presented at the 2025 International Symposium on Biomedical Imaging.
Event Title: International Symposium on Biomedical Imaging
Event Type: Other
Event Location: Hyatt Regency
Event Dates: 2025-04-14 - 2025-04-17
Last Modified: 13 Feb 2025 12:03
Date Deposited: 11 Feb 2025 10:34
PURE Output Type: Abstract
Published Date: 2025-02-07
Accepted Date: 2025-02-07
Authors: Fouad, Shereen (ORCID Profile 0000-0002-4965-7017)
Atim, Paula
Rajasekaran, Arvind
Nagori, Pankaj
Morlese, John
Bhatia, Bahadar

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 14 April 2025.

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