Conference Paper/Proceeding/Abstract 74 views 29 downloads
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI
Lecture Notes in Computer Science, Volume: 14976, Pages: 118 - 131
Swansea University Author:
Sophie Shermer
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
Download (3.79MB)
DOI (Published version): 10.1007/978-3-031-67285-9_9
Abstract
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI
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 |