Conference Paper/Proceeding/Abstract 2 views
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
Full text not available from this repository: check for access using links below.
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 |

