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Medical-Image-Processing-Library

Medical Image-Processing Library for Bone Fraction Image

We plan to develop a deep learning model to classify medical diagnostic images of patient’s hand bone abnormal from those are normal. We decided to use dataset from bone X-Ray Deep Learning Competition of Stanford MURA ML: https://stanfordmlgroup.github.io/competitions/mura/

Author:
Jingwen Deng ([email protected])
Xianxin Zhu ([email protected])

Tasks may include:

  • data cleaning and selection
  • Examine and understand data
  • Build an input pipeline
  • Build the model
  • Train the model
  • Test the model
  • Improve the model and repeat the process
  • ...

Packages may include:

  • tensorflow
  • numpy
  • pandas
  • matplotlib
  • torch
  • cv2
  • ...

Functions may include:

  • Load/correct file path
  • Load image from path
  • Convert list X and y to array
  • Test train split
  • Build model
  • Train model
  • Plot accuracy
  • ...

A medical image-processing library will be built, output will be binary - whether the result is normal(negative) or abnormal(positive) based on the image provided

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