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Skin-Cancer-Classification

Convolutional Neural Network

  1. Problem Definition
    Our goal is to build a machine learning model that classifies 5 different types of skin cancers with best accuracy possible based on the skin images which were provided to us. These cancer types are: Melanoma (MEL), Melanocytic nevus (NV), Basal cell carcinoma (BCC), Actinic keratosis (AK), Benign keratosis (BKL).

For further information about the project, please take a look at the CS412 Project Report file.

Kaggle Competition link: https://www.kaggle.com/c/machinelearning412-skincancerclassification/overview

Note: We became 2nd among the 23 groups in the competition with 81.66% classification accuracy.

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Convolutional Neural Network

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