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+# MURA Bone Abnormality Detection
+MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
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+
+### 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.
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+![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