CNN-for-skin-lesion-classification

A hands-on pedagogical activity that dissects the procedures to train a convolutional neural network (ResNet-50) on a dataset containing images of skin lesions associated with different skin cancer categories

Colab notebooks

Case 1 - link to Colab

Case 2 - link to Colab

Please refer to the article below for further information.

Reference

Please cite the publication below in all your documents and manuscripts that made use of the software included in this repository.

Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning

Cullell-Dalmau, M. and Noé, S., Otero-Viñas, M., Meić, I., and Manzo, C.

Frontiers in Medicine 8: 213 (2021)

doi: 10.3389/fmed.2021.644327

Link to Frontiers in Medicine

BibTeX

@article{cullell2021convolutional,
  title={Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning},
  author={Cullell-Dalmau, Marta and No{\'e}, Sergio and Otero-Vi{\~n}as, Marta and Mei{\'c}, Ivan and Manzo, Carlo},
  journal={Frontiers in Medicine},
  volume={8},
  pages={213},
  year={2021},
  publisher={Frontiers}
}