Bone Fracture Classification

Bone Fracture Classification

Here we attempt to create an algorithm to classify images for bone fracture, for this an input image is given and output is given as a “Positive” or “Negative” label. The input data is in the form of X Ray images of the bones. Hence, an appropriate supervised learning model is to be trained with the data to give correct label to the input image to predict a fracture. Some preprocessing of the data (converting RGB images to Grayscale) is also necessary here. This repository contains a Keras implementation of a 169 layer Densenet Model on MURA dataset. Project URL: https://github.com/Ibrahim278/Bone-Fracture-Classification

Training Accuracy

Validation Accuracy

Training Loss

Validation Loss