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Developing an interpretable clinical-radiomics machine learning model using whole transition zone MRI analysis for improving diagnosis of transition zone… — Europe PMC PMID:41756314
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/41756314
- DOI
- 10.3389/fonc.2026.1716482
- License (as archived)
- solo-consultazione
- Archived
- 2026-11-05T22:18:10.908Z
- SHA-256 of the archived text
07aa958940488ba6c8eae32ae0670d148b8dbe36068c56198c89a08d6bba4be0- Stable URL of this page
https://metraipolis.com/documento/dc_33ba196b6041
How to cite
Developing an interpretable clinical-radiomics machine learning model using whole transition zone MRI analysis for improving diagnosis of transition zone… — Europe PMC PMID:41756314 — Europe PMC (en), https://europepmc.org/article/MED/41756314 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_33ba196b6041 (Metraipolis archive dc_33ba196b6041, sha256 07aa958940488ba6c8eae32ae0670d148b8dbe36068c56198c89a08d6bba4be0)
BibTeX
@misc{dc33ba196b6041,
title = {Developing an interpretable clinical-radiomics machine learning model using whole transition zone MRI analysis for improving diagnosis of transition zone… — Europe PMC PMID:41756314},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/41756314},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_33ba196b6041; sha256 07aa958940488ba6c8eae32ae0670d148b8dbe36068c56198c89a08d6bba4be0},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41756314. Agents can read the archived copy with the MCP tool read_document.