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Repository for the Cellari project in the Deep Learning Course at DTU

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Cellari-Deeplearning-Course

Our network is based on Segnet. The task is to segment malicious cell from medical images.

The dataset can be found here

reproduce the model

##1 stage

200 epochs image size (128, 128) learning rate 1e-4 batch size 50

accuracy on test data 0.77

2 stage

200 epochs image size (192, 192) learning rate 5e-5 batch size 5

accuracy on test data 0.84

3 stage

200 epochs image size (256, 256) learning rate 5e-5 batch size 5

accuracy on test data 0.86

4 stage

200 epochs image size (256, 256) learning rate 1e-5 batch size 5

accuracy on test data 0.87

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Repository for the Cellari project in the Deep Learning Course at DTU

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  • Jupyter Notebook 98.8%
  • Python 1.2%