Recent advancements of deep learning in detecting breast cancer: a survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s00530-022-01028-z.pdf
Reference119 articles.
1. Cataliotti, L., De Wolf, C., Holland, R., Marotti, L., Perry, N., Redmond, K., Del Turco, M.R., Rijken, H., Kearney, N., Ellis, I.O., et al.: Guidelines on the standards for the training of specialised health professionals dealing with breast cancer. Eur. J. Cancer 43(4), 660–675 (2007)
2. Britt, K.L., Cuzick, J., Phillips, K.-A.: Key steps for effective breast cancer prevention. Nat. Rev. Cancer 20(8), 417–436 (2020)
3. Dodelzon, K., Starikov, A., Reichman, M., Cheng, E., Lu, C.M., Blackburn, A., Reznik, E., Kim, J., Bose, A., Thomas, C., et al.: Breast cancer in women under age 40: A decade of trend analysis at a single institution. Clin. Imaging 78, 165–170 (2021)
4. Pysz, M.A., Gambhir, S.S., Willmann, J.K.: Molecular imaging: current status and emerging strategies. Clin. Radiol. 65(7), 500–516 (2010)
5. Wu, M., Shu, J.: Multimodal molecular imaging: current status and future directions. Contrast media & molecular imaging 2018 (2018)
Cited by 3 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. Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images;TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31
2. An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26
3. Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer;Multimedia Systems;2023-08-30
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