Classification for Dermoscopy Images Using Convolutional Neural Networks Based on Region Average Pooling

Classification for Dermoscopy Images Using Convolutional Neural Networks Based on Region Average Pooling

In this paper, a novel melanoma classification method based on convolutional neural networks is proposed for dermoscopy images. First a region average pooling (RAPooling) method is introduced which makes feature extraction can focus on the region of interest. Then an end-to-end classification framew...

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Bibliographic Details
Main Authors: Jiawen Yang, Fengying Xie, Haidi Fan, Zhiguo Jiang, Jie Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
dermoscopy images
melanoma detection
region average pooling
Online Access:https://ieeexplore.ieee.org/document/8502872/

Internet

https://ieeexplore.ieee.org/document/8502872/

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