Early diagnose breast cancer with PCA-LDA based FER and neuro-fuzzy classification system
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02395-z.pdf
Reference30 articles.
1. Addeh A, Demirel H, Zarbakhsh P (2017) Early detection of breast cancer using optimized ANFIS and features selection. In: 2017 9th international conference on computational intelligence and communication networks (CICN), Girne, 2017, pp 39–42. https://doi.org/10.1109/CICN.2017.8319352
2. Ananthi M, Vijayakumar K (2020) Stock market analysis using candlestick regression and market trend prediction (CKRM). J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-01892-5
3. Bhardwaj A, Tiwari A (2015) Breast cancer diagnosis using genetically optimized neural network model. Expert Syst Appl 42(10):4611–4620
4. Bilalović O, Avdagić Z (2018) Robust breast cancer classification based on GA optimized ANN and ANFIS-voting structures. In: 2018 41st international convention on information and communication technology, electronics and microelectronics (MIPRO), Opatija, 2018, pp 0279-0284. https://doi.org/10.23919/MIPRO.2018.8400053
5. Billah M, Islam N (2016) An early diagnosis system for predicting lung cancer risk using adaptive neuro fuzzy inference system and linear discriminant analysis. J MPE Mol Pathol Epidemiol 1(1:3):1–4
Cited by 24 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. Classification of hand movements based on EMD-CCT feature extraction method through EMG using machine learning;Multimedia Tools and Applications;2024-04-27
2. Symptom Principal Component Analysis (SPCA) for Dimensionality Reduction in Categorical Data: A Case Study on Breast Cancer;Communications in Computer and Information Science;2024
3. Toward improving the performance of learning by joining feature selection and ensemble classification techniques: an application for cancer diagnosis;Journal of Cancer Research and Clinical Oncology;2023-09-23
4. Advancing prostate cancer detection: a comparative analysis of PCLDA-SVM and PCLDA-KNN classifiers for enhanced diagnostic accuracy;Scientific Reports;2023-08-23
5. Early-Stage Detection and Classification of Breast Neoplasm Stages Using OGRU-LSTM-BiRNN and Multivariate Data Analysis;Journal of The Institution of Engineers (India): Series B;2023-05-03
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