Back to search

Article

Convolutional Neural Network-Based Model to Differentiate Distal Ureteral Stones, Vascular Calcification, and Normal Cases

2026-07-17

Abstract excerpt

<title>Abstract</title> <p>Background Differentiating distal ureteral stones from phleboliths and arterial calcifications on non-contrast CT is challenging due to overlapping imaging features. This study aims to develop and evaluate a deep learning model for automated classification of pelvic calcifications. Methods In this retrospective study, CT images were collected and labeled by expert radiologists into fo...

Topics

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

Identifiers and source

Literature Corpus work
dade9e12-50f3-5420-8dc2-53554b03f0a5
DOI
10.21203/rs.3.rs-10040657/v1
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.
Convolutional Neural Network-Based Model to Differentiate Distal Ureteral Stones, Vascular Calcification, and Normal CasesDOI 10.21203/rs.3.rs-10040657/v1
Select a neighboring publication to make it the new centre.