Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm
Author:
Affiliation:
1. National Institute of Technology,Department of Information Technology,Raipur,India
2. National Institute of Technology,Department of Biomedical Engineering,Raipur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751451/9751452/09751677.pdf?arnumber=9751677
Reference23 articles.
1. End-to-end breast ultrasound lesions recognition with a deep learning approach;yap;Medical Imaging 2018 Biomedical Applications in Molecular Structural and Functional Imaging,2018
2. Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
3. Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
4. Deep Learning Approaches for Data Augmentation and Classification of Breast Masses using Ultrasound Images
5. Dataset of breast ultrasound images
Cited by 5 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. Swin transformer-based fork architecture for automated breast tumor classification;Expert Systems with Applications;2024-12
2. Breast Cancer Detection with Topological Machine Learning;Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering;2023-11-09
3. A Novel Fuzzy Relative-Position-Coding Transformer for Breast Cancer Diagnosis Using Ultrasonography;Healthcare;2023-09-13
4. Multi-stage biomedical feature selection extraction algorithm for cancer detection;SN Applied Sciences;2023-04-07
5. Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction;Healthcare;2022-12-08
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