/Skin-Lesion-Pytorch-HAM10000

Classification of HAM10000 dataset using Pytorch and densenet

Primary LanguageJupyter Notebook

Skin Lesion Classification

Classification of HAM10000 or skin cancer MNIST dataset using Pytorch and densenet. Link to competition and dataset : https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000

Recommanded to use Google Colab to skip requirements error and use free gpu/tpu.

Importing notebook into Colab

  • Open colab from above provided link.
  • A pop window opens containing several tabs, select the one which says Github.
  • Enter the repo url https://github.com/rtharungowda/Skin-Lesion-Pytorch-HAM10000 and click on search.
  • The notebook will appear under the results select and run.
  • The notebook cannot be modified as it is, hence please create a copy of it in your drive.