OsteNet: A Novel Tool For Hairline Fractures In Bone Disease

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  train data

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  train data

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  train data

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  train data

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  results

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  our model's prediction

Inspiration

A personal hairline fracture injury that was misdiagnosed by doctors

What it does

It identifies hairline fractures in medical imaging

How we built it

We preprocessed the data, then trained and validated the model, then tested the model

Challenges we ran into

We initially had an unequal weighting for the two classes that we trained the model on (fractured vs. non-fractured), but then fixed it by creating an equal amount of data in each class

Accomplishments that we're proud of

We're proud of our model's accuracy: 96%!

What we learned

We learned more about convoluted neural networks

What's next for OsteNet: A Novel Tool For Hairline Fractures In Bone Disease

Real-world application in the medical field, incorporation into an application or product

*data is from kaggle.com (links within notebook)

Built With

• colab
• python
• tensorflow