Breast lesion classification based on ultrasonic radio-frequency signals using convolutional neural networks
Author:
Publisher
Elsevier BV
Subject
Biomedical Engineering
Reference52 articles.
1. Global cancer statistics 2018: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA: Cancer J Clin,2018
2. Automated breast cancer detection and classification using ultrasound images: a survey;Cheng;Pattern Recognit,2010
3. Improving classification performance of breast lesions on ultrasonography;Flores;Pattern Recognit,2015
4. Artificial intelligence in breast ultrasound;Wu;World J Radiol,2019
5. Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images;Virmani;Biocybern Biomed Eng,2019
Cited by 20 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. Computer‐Aided Classification of Breast Lesions Based on US RF Time Series Using a Novel Machine Learning Approach;Journal of Ultrasound in Medicine;2024-08-14
2. Evaluating the effect of tissue stimulation at different frequencies on breast lesion classification based on nonlinear features using a novel radio frequency time series approach;Heliyon;2024-07
3. Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images;Biocybernetics and Biomedical Engineering;2024-07
4. Optimal fusion of features from decomposed ultrasound RF data with adaptive weighted ensemble classifier to improve breast lesion classification;Image and Vision Computing;2024-06
5. Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning;eBioMedicine;2023-12
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