Alkoby/Bone-Fracture-Detection
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
Employs a two-stage cascading architecture: ResNet50 first classifies the bone type (elbow, hand, shoulder) from 20K MURA dataset x-rays, then routes to specialized fracture-detection models trained per bone type. Built with TensorFlow/Keras and includes a CustomTkinter GUI for real-time inference, with data augmentation and 72/18/10 train/validation/test split.
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Jan 20, 2023
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