Multi-Level Dimensionality Reduction of Head and Neck Cancer Image Feature Selection Method

Multi-Level Dimensionality Reduction of Head and Neck Cancer Image Feature Selection Method

Aiming at the high dimensional problem of pathological image morphometric features and the small amount of applied samples in medical field, this paper presents the ReliefF-HEPSO head and neck cancer pathological image feature selection algorithm. The algorithm constructs a framework of multi-level...

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Bibliographic Details
Main Author: CHENG Tianyi, WANG Yagang, LONG Xu, PAN Xiaoying
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
image features
small sample high dimension
relieff algorithm
evolutionary neural strategy (ens)
particle swarm optimization (pso)
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2170.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2170.shtml

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