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Classify-human-diseases-using-DeepLearning

Automated methods to detect and classify human diseases from medical images, using Deep Neural Networks



What is this project for?

The project is about diagnosing Pneumonia from X-ray images of lungs of a person using self laid convolutional neural network. The images were of size greater than 1000 pixels per dimension and the total dataset.

  • The dataset contained 5000+ X-ray images, labelled as showing symptoms of Pnuemonia or not.
  • The work includes
    • Pre-processing of data.
    • Laying down a Deep Convolutional Neural Network architecture from scratch.
  • The model showed a recall of 95% and a precision of 80%.
    • In context of the problem statement, recall of the model plays a more crucial role for the successfull classifcation of images.
  • The final model architecture, loss functions and regularization steps have been chosen after continous hyper parameter searches.

Insipiration

Automated methods to detect and classify human diseases from medical images.

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