An immune-inspired semi-supervised algorithm for breast cancer diagnosis-Reference-Cited by-同舟云学术

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An immune-inspired semi-supervised algorithm for breast cancer diagnosis

Published:2016-10 Issue: Volume:134 Page:259-265
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Peng Lingxi,Chen Wenbin,Zhou Wubai,Li Fufang,Yang Jin,Zhang Jiandong

Funder

National Natural Science Foundation of China

Creation Team Construction Project of Guangdong Province University

Scientific Research Fund of Sichuan Provincial Education Department

Scientific Research Fund of Leshan Normal University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference27 articles.

1. An evolutionary artificial neural networks approach for breast cancer diagnosis;Abbass;Artif. Intell. Med,2002

2. Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms;Zheng;Exp. Syst. Appl,2014

3. Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis;Li;Inf. Sci,2013

4. Improved use of continuous attributes in C4.5.;Quinlan;Artif. Intell. Res,1996

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