Back to search

Article

A Three-Phase Explainable Deep Learning Approach for Reliable Wrist Fracture Identification from X-Ray Images

2026-08-03

Abstract excerpt

Wrist fractures present significant challenges in clinical diagnosis, often leading to treatment delays and compromised recoveries. Manual diagnosis is resource-intensive and prone to errors. To address these issues, we propose a unique DeepWristFNet and explainable AI-based model for end-to-end classification of bone fractures utilizing a small dataset of 193 wrist X-ray images to diagnose wrist fractures from X-...

Topics

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

Identifiers and source

Literature Corpus work
928d553d-2690-5bb9-9b00-6e0268b9d631
DOI
10.20944/preprints202608.0029.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.
A Three-Phase Explainable Deep Learning Approach for Reliable Wrist Fracture Identification from X-Ray ImagesDOI 10.20944/preprints202608.0029.v1
Select a neighboring publication to make it the new centre.