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-Mole_classification

DNN, which classifies moles into three classes, using the resnet and the transfer learning method. 3 classes of moles represented by nevus, keratosis, melanoma

Important libraries:

  • Tensorflow, keras, scikit-learn(sklearn)

    Data:

  • 2000 images train dataset
  • 300 images valid dataset
  • 600 images test dataset

    Epoch:

  • 20

    Result:

  • ~69% accuracy on train
  • ~65.5% accuracy on test
  • About

    Mole classification with CNN

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