Melanoma recognition in dermoscopy images via aggregated deep convolutional features

• Main Authors: Yu, Zhen, Jiang, Xudong, Zhou, Feng, Qin, Jing, Ni, Dong, Chen, Siping, Lei, Baiying, Wang, Tianfu
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Feature Extraction; Medical Image Processing
• Online Access: https://hdl.handle.net/10356/145335
• Institution: Nanyang Technological University

In this paper, we present a novel framework for dermoscopy image recognition via both a deep learning method and a local descriptor encoding strategy. Specifically, deep representations of a rescaled dermoscopy image are first extracted via a very deep residual neural network pretrained on a large n...