An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches

Published:2022-03-11 Issue:7 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Jha Sunil Kumar¹²^ORCID,Wang Jinwei²,Shanmugam Raju³

Affiliation:

1. Adani Institute of Infrastructure Engineering Ahmedabad Gujarat India

2. School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

3. Unitedworld School of Computational Intelligence Karnavati University Gandhinagar India

Funder

Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12976

Reference54 articles.

1. Bagging schemes on the presence of class noise in classification

2. WCBA: Weighted classification based on association rules algorithm for breast cancer disease

3. American Cancer Society(2019).https://www.cancer.org/cancer.html.

4. Heterogeneous classifiers fusion for dynamic breast cancer diagnosis using weighted vote based ensemble

Cited by 2 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. (Retracted) Deep belief network-based image processing for local directional segmentation in brain tumor detection;Journal of Electronic Imaging;2023-01-04

2. Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy;IEEE Access;2023

同舟云学术

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