Prediction and Classification of Breast Cancer Using Discriminative Learning Models and Techniques
Author:
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119786122.ch12
Reference16 articles.
1. Gupta B.andSingh A.K. A novel approach for breast cancer detection and segmentation in a mammogram Eleventh Int. Multi‐Conference on Information Processing. Procedia Comput. Sci. 54 676–682 10.1016/j. procs.2015.06.079.
2. Classification of Breast Cancer Histology Images Using Multi-Size and Discriminative Patches Based on Deep Learning
3. Application of the No-Sampling Linear Sampling Method to Breast Cancer Detection
4. Král P.andLene L. LBP features for breast cancer detection. IEEE International Conference on Image Processing (ICIP) Phoenix AZ pp. 2643–2647 2016.
Cited by 7 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 Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier;The International Arab Journal of Information Technology;2024-01-01
2. Spatial Intuitionistic Fuzzy C-means with Calcifications enhancement based on Nonsubsampled Shearlet Transform to detect Masses and Microcalcifications from MLO Mammograms;2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA);2023-01-20
3. A Novel CNN-Inception-V4-Based Hybrid Approach for Classification of Breast Cancer in Mammogram Images;Wireless Communications and Mobile Computing;2022-07-06
4. Hybrid optimization algorithm based feature selection for mammogram images and detecting the breast mass using multilayer perceptron classifier;Computational Intelligence;2022-04-10
5. Pregnancy Women—Smart Care Intelligent Systems: Patient Condition Screening, Visualization and Monitoring with Multimedia Technology;Intelligent Interactive Multimedia Systems for e-Healthcare Applications;2021-11-16
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