Automatic breast density classification using a convolutional neural network architecture search procedure

Author:

Fonseca Pablo,Mendoza Julio,Wainer Jacques,Ferrer Jose,Pinto Joseph,Guerrero Jorge,Castaneda Benjamin

Publisher

SPIE

Reference14 articles.

1. Boyle, P., Levin, B., et al., [World cancer report 2008.], IARC Press, International Agency for Research on Cancer (2008).

2. Cancer

3. Mammographic density and breast cancer risk: current understanding and future prospects

4. D’Orsi, C. J., [Breast Imaging Reporting and Data System:(BI-RADS)], American College of Radiology (1998).

Cited by 39 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. Automatically Finding the Biggest Fold Value for More Accurate Classification and Diagnosis in Machine Learning Algorithms;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2023-12-18

2. Deep Classification of Mammographic Breast Density: DCBARNet;2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ);2023-11-29

3. DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images;2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT);2023-10-30

4. The effect of variable labels on deep learning models trained to predict breast density;Biomedical Physics & Engineering Express;2023-04-19

5. Automatic assessment of mammographic density using a deep transfer learning method;Journal of Medical Imaging;2023-04-05

同舟云学术

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