Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.
- DOI
- 10.1016/j.diii.2022.11.005
- Published
- 2023 May
- Container
- Diagnostic and interventional imaging
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.diii.2022.11.005,
title = {Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.},
author = {Rouvière O and Jaouen T and Baseilhac P and Benomar ML and Escande R and Crouzet S and Souchon R},
year = {2023},
journal = {Diagnostic and interventional imaging},
doi = {10.1016/j.diii.2022.11.005},
url = {https://doi.org/10.1016/j.diii.2022.11.005}
}RIS
TY - JOUR TI - Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review. AU - Rouvière O AU - Jaouen T AU - Baseilhac P AU - Benomar ML AU - Escande R AU - Crouzet S AU - Souchon R PY - 2023 JO - Diagnostic and interventional imaging DO - 10.1016/j.diii.2022.11.005 UR - https://doi.org/10.1016/j.diii.2022.11.005 ER -
APA
O, R., T, J., P, B., ML, B., R, E., S, C., & R, S. (2023). Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.. Diagnostic and interventional imaging. https://doi.org/10.1016/j.diii.2022.11.005
Source records
- pubmed · retrieved 2026-11-10T09:17:01.031Z