# Skin disease identification from dermoscopy images using deep convolutional neural network

arXiv: https://arxiv.org/abs/1807.09163 · HTML: https://mlsanity.com/paper/1807.09163/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2018.

## Built on by (most cited first, 2 of 2)

- [Data-Driven Deep Supervision for Skin Lesion Classification](https://mlsanity.com/paper/2209.01527/) (2022)
- [A Comparative Analysis of Transfer Learning-based Techniques for the Classification of Melanocytic Nevi](https://mlsanity.com/paper/2211.10972/) (2022)

## Abstract (arXiv)

In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied on the task3 of the ISIC 2018 challenge dataset (Skin Lesion Analysis Towards Melanoma Detection).