Article
Deep Learning Identified Extra-Prostatic Extension and Seminal Vesicle Invasion as an MRI Biomarker for Prostate Cancer Outcomes
2025-01-01
Abstract excerpt
Current risk stratification methods for localized prostate cancer (PCa) are reliant on clinical and pathological variables that do not easily account for location of cancer spread. Prostate MRI is a helpful tool to identify anatomic extra-prostatic cancer spread (EPE) and seminal vesicle invasion (SVI) but is subject to radiologist expertise and inter-observer variation. We report deep learning models which provid...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- fa73eac2-bdb0-5467-b521-3ed3ac5d6bc7
- DOI
- 10.1101/2024.12.31.24319822
