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cancer_detection's Introduction

Detect cancerous cells on pathology images with deep neural network


See the video where I explained my methodology: https://www.youtube.com/watch?v=H3RgC2ngo6g&feature=youtu.be

Tumor images obtained from https://camelyon16.grand-challenge.org/Data/

  • Orginal Pathology image sample (a 'slide')
    slide

  • Cancerous region determined by pathologists marked in red
    ground_truth

  • Sliding window approach to extract input patches for each slide
    sliding_window

  • Patches with cancerous overlay (red regions are cancerous)

  • Model trained with transfer learning on 7 slides (model will improve greatly with more training data)
    model

  • Predicted likelihood map (the reder reigion are more likely to be cancerous)
    predicted_result

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