Deep learning in breast radiology: current progress and future directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-020-07640-9.pdf
Reference96 articles.
1. Hamet P, Tremblay J (2017) Artificial intelligence in medicine. Metab Clin Exp 69S:S36–S40
2. Bluemke DA, Moy L, Bredella MA et al (2020) Assessing radiology research on artificial intelligence: a brief guide for authors, reviewers, and readers-from the radiology editorial board. Radiology 294:487–489
3. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444
4. Keen JD, Keen JM, Keen JE (2018) Utilization of computer-aided detection for digital screening mammography in the United States, 2008 to 2016. J Am Coll Radiol 15:44–48
5. Elmore JG, Carney PA (2004) Computer-aided detection of breast cancer: has promise outstripped performance? J Natl Cancer Inst 96:162–163
Cited by 41 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. Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures;Medical Image Analysis;2025-01
2. Long overdue national big data policies hinder accurate and equitable cancer detection AI systems;Journal of Medical Imaging and Radiation Sciences;2024-12
3. Predicting Pathological Characteristics of HER2-Positive Breast Cancer from Ultrasound Images: a Deep Ensemble Approach;Journal of Imaging Informatics in Medicine;2024-08-26
4. A generalized optimization-based generative adversarial network;Expert Systems with Applications;2024-08
5. Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials;Cancer Imaging;2024-04-05
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