Work

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

Year: 2017

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1703.03108

Authors: Matsunaga, Kazuhisa, Hamada, Akira, Minagawa, Akane, Koga, Hiroshi

Language: English

Topic: Cutaneous Melanoma Detection and Management

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: Tokyo Women's Medical University

OpenAlex ID: W2604384166

Cites: 6

Cited by: 182

Related to: 10