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Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI

Asmail Muftah Orcid Logo, Sophie Shermer Orcid Logo, Frank C. Langbein Orcid Logo

Lecture Notes in Computer Science, Volume: 14976, Pages: 118 - 131

Swansea University Author: Sophie Shermer Orcid Logo

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Published in: Lecture Notes in Computer Science
ISBN: 9783031672842 9783031672859
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68714
Keywords: Early-Stage Prostate Cancer; Magnetic Resonance Imaging; Classification; Machine Learning; Explainable AI
College: Faculty of Science and Engineering
Start Page: 118
End Page: 131