A study of deep learning techniques for predicting breast cancer types-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A study of deep learning techniques for predicting breast cancer types

Published:2023-05-02 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Shanthi D.,Shinde Swati,Renjith P. N.,Nath Srigitha. S.,Thilakavathy P.,Suneetha Vemuri

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08245-2.pdf

Reference35 articles.

1. Adeyinka-Ojo S, Abdullah SK (2019) Disruptive digital innovation and sharing economy in hospitality and tourism destination. In: IOP conference series: materials science and engineering, Vol 495, No. 1. IOP Publishing, p 012006

2. Alghunaim S, Al-Baity HH (2019) On the scalability of machine-learning algorithms for breast cancer prediction in big data context. IEEE Access 7:91535–91546

3. Asri H, Mousannif H, Al Moatassime H, Noel T (2016) Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis. Proc Comput Sci 83:1064–1069. https://doi.org/10.1016/j.procs.2016.04.224

4. Assegie TA (2021) An optimized K-nearest neighbor based breast cancer detection. J Robot Control (JRC) 2(3):115–118

5. Bataineh AAl (2019) A comparative analysis of nonlinear machine learning algorithms for breast cancer detection. Int J Machine Learning Comput 9(3):248–254

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. Predictive breast cancer diagnosis using ensemble fuzzy model;Image and Vision Computing;2024-08

2. MR-TBA – An improved Trust-based Security mechanism for IoT Networks;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

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