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A 24-hour Health Hackathon organized by School of AI, sponsored by Accenture AI held globally to solve leading-edge problems in healthcare using AI

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shreya888/Decting-Abnormalities-in-X-ray-using-MURA-dataset

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Decting Abnormalities in X-ray using MURA dataset

MURA is a dataset of bone X-rays that allows to create models that find abnormalities. Fastai v1 allows to create such a world-class model as part of the MURA competition, which evaluates the performance of a study classifier using the kappa score.

What is MURA?

MURA (MUsculoskeletal RAdiographs) is a large dataset of bone X-rays that allows to create models that determines whether an X-ray study is normal or abnormal (we could use as well this dataset to classify bones into the categories shoulder, humerus, elbow, forearm, wrist, hand, and finger). MURA is one of the largest public radiographic image datasets.

Important Links

A small description of the project can be found in the following link.

Team Members

  • Shreya, CHAWLA, student, LNM IIT Jaipur, LinkedIn
  • Siddharth, TIWARI, student, IIIT Bangore, LinkedIn

Installations & Reproduction Detailed Instructions

  • To Install: Run pip install -r requirements.txt
  • To Reproduce Results: Link

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A 24-hour Health Hackathon organized by School of AI, sponsored by Accenture AI held globally to solve leading-edge problems in healthcare using AI

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