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

arXiv: https://arxiv.org/abs/1703.03108 · HTML: https://mlsanity.com/paper/1703.03108/

## Key facts

- Cited by 23 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Mar 2017.

## Built on by (most cited first, 23 of 23)

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- [Skin Cancer Images Classification using Transfer Learning Techniques](https://mlsanity.com/paper/2406.12954/) (2024)
- [Learning Superpixel Ensemble and Hierarchy Graphs for Melanoma Detection](https://mlsanity.com/paper/2604.03710/) (2026)
- [I Can't Believe TTA Is Not Better: When Test-Time Augmentation Hurts Medical Image Classification](https://mlsanity.com/paper/2604.09697/) (2026)
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## Abstract (arXiv)

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.