Classification Approach for Breast Cancer Detection Using Back Propagation Neural Network
Author:
Affiliation:
1. Bengal College of Engineering and Technology, India
2. JIS College of Engineering, India
3. Malaysia University of Science and Technology, Malaysia
4. Department of Information Technology, Techno India College of Technology, Kolkata, India
Abstract
Publisher
IGI Global
Reference14 articles.
1. Breast Cancer Diagnosis by CAD
2. Gene Expression Signatures, Clinicopathological Features, and Individualized Therapy in Breast Cancer
3. Support vector machines combined with feature selection for breast cancer diagnosis
4. A Novel SVM based CSSFFS Feature Selection Algorithm for Detecting Breast Cancer.;S.Aruna;International Journal of Computers and Applications,2011
5. A Computer-Aided Diagnosis System for Breast Cancer Combining Features Complementarily and New Scheme of SVM Classifiers Fusion.;N.Azizi;International Journal of Multimedia and Ubiquitous Engineering,2013
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Detection and Classification of Leukocytes in Blood Smear Images;Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention;2022-09-09
2. On Memristors for Enabling Energy Efficient and Enhanced Cognitive Network Functions;IEEE Access;2022
3. Utilization of multilayer perceptron for determining the inverse kinematics of an industrial robotic manipulator;International Journal of Advanced Robotic Systems;2021-07-01
4. An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis;Journal of Experimental & Theoretical Artificial Intelligence;2021-06-15
5. Classifying Breast Density in Mammographic Images Using Wavelet-Based and Fine-Tuned Sensory Neural Networks;International Journal of Image and Graphics;2021-01-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3