Back to search

Article

Rad-Path Correlation of Deep Learning Models for Prostate Cancer Detection on MRI

2025-06-04

Abstract excerpt

While Deep Learning (DL) models trained on Magnetic Resonance Imaging (MRI) have shown promise for prostate cancer detection, their lack of direct biological validation often undermines radiologists’ trust and hinders clinical adoption. Radiologic-histopathologic (rad-path) correlation has the potential to validate MRI-based lesion detection using digital histopathology. This study uses automated and manually anno...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1b8b219a-ce0a-518f-8501-1fef3d6bdb8a
DOI
10.1101/2025.06.04.25328868
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Rad-Path Correlation of Deep Learning Models for Prostate Cancer Detection on MRIDOI 10.1101/2025.06.04.25328868
Select a neighboring publication to make it the new centre.