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Musculoskeletal abnormality detection for upper extremity

Date : 27 October 2020

 

Authors

• Kasemsit Teeyapan, Ph.D.

 

Abstract

Abnormality detection in musculoskeletal radiographs as normal or abnormal is a regular task for radiologists, requiring both experiences and efforts. To increase the number of radiographs interpreted each day, this project studies deep learning models to help automate the detection process. In particular, the MURA dataset which is a dataset of musculoskeletal radiographs, consisting of elbows, fingers, forearms, hands, humerus, shoulders, and wirsts, is the used in this project.

 

 

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