A Deep Learning Architecture for Identification of Breast Cancer on Mammography by Learning Various Representations of Cancerous Mass
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-6321-8_10
Reference32 articles.
1. P.C. Gøtzsche, Screening for breast cancer with mammography. Lancet 358, 2167–2168 (2001). https://doi.org/10.1016/S0140-6736(01)07198-7
2. A. Jalalian, S.B.T. Mashohor, H.R. Mahmud, M.I.B. Saripan, A.R.B. Ramli, B. Karasfi, Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review. Clin. Imaging 37(3), 420–426 (2013). https://doi.org/10.1016/j.clinimag.2012.09.024
3. Q. Zeng, H. Jiang, L. Ma, Learning multi-level features for breast mass detection, in ACM International Conference Proceeding Series (2018). https://doi.org/10.1145/3285996.3286000
4. H.P. Chan, R.K. Samala, L.M. Hadjiiski, C. Zhou, Deep learning in medical image analysis. Adv. Exp. Med. Biol. (2020). https://doi.org/10.1007/978-3-030-33128-3
5. J. Shiraishi, Q. Li, D. Appelbaum, K. Doi, Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin. Nucl. Med. (2011). https://doi.org/10.1053/j.semnuclmed.2011.06.004
Cited by 10 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. Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage identification;Biomedical Signal Processing and Control;2024-08
2. Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis;Multimedia Tools and Applications;2024-07-05
3. Recent Advancement and Challenges of Deep Learning for Breast Mass Classification from Mammogram Images;Lecture Notes in Electrical Engineering;2023-11-01
4. Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine;Biomedical Signal Processing and Control;2023-09
5. Liver Cancer Classification With Using Gray‐Level Co‐Occurrence Matrix Using Deep Learning Techniques;Machine Intelligence, Big Data Analytics, and IoT in Image Processing;2023-02-10
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