# MURA Bone Abnormality Detection

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

### Data Description

MURA is a dataset of musculoskeletal radiographs consisting of 14,863 studies from 12,173 patients, with a total of 40,561 multi-view radiographic images. Each belongs to one of seven standard upper extremity radiographic study types: elbow, finger, forearm, hand, humerus, shoulder, and wrist. Each study was manually labeled as normal or abnormal by board-certified radiologists from the Stanford Hospital at the time of clinical radiographic interpretation in the diagnostic radiology environment between 2001 and 2012.

![Error!](https://github.com/ushashwat/MURA-Bone-Abnormality-Detection/blob/master/bone_images.png)

### Acknowledgement

Data: For Stanford University School of Medicine MURA Dataset Research Use Agreement, refer to: https://stanfordmlgroup.github.io/competitions/mura/ <br/>

Reference paper: https://arxiv.org/abs/1712.06957