English

Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble

Computer Vision and Pattern Recognition 2017-03-10 v1

Abstract

This short paper reports the method and the evaluation results of Casio and Shinshu University joint team for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part 3: Lesion Classification hosted by ISIC. Our online validation score was 0.958 with melanoma classifier AUC 0.924 and seborrheic keratosis classifier AUC 0.993.

Keywords

Cite

@article{arxiv.1703.03108,
  title  = {Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble},
  author = {Kazuhisa Matsunaga and Akira Hamada and Akane Minagawa and Hiroshi Koga},
  journal= {arXiv preprint arXiv:1703.03108},
  year   = {2017}
}

Comments

4 pages. 3 figures. ISIC2017