A Three-Phase Explainable Deep Learning Approach for Reliable Wrist Fracture Identification from X-Ray Images
Wrist fractures present significant challenges in clinical diagnosis, often leading to treatment delays and compromised recoveries. Manual diagnosis is resource-intensive and error-prone. To address these challenges, we develop DeepWristFNet, a compact convolutional architecture designed for end-to-end wrist fracture c...