A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound

Published:2020-11 Issue: Volume:126 Page:104036
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Gómez-Flores Wilfrido,Coelho de Albuquerque Pereira Wagner

Funder

Fondo SEP-Cinvestav de Apoyo a la Investigación 2018

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference58 articles.

1. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods;Ferlay;Int. J. Canc.,2019

2. The relationship of mammographic density and age: implications for breast cancer screening;Checka;Am. J. Roentgenol.,2012

3. Evidence of the effect of adjunct ultrasound screening in women with mammography-negative dense breasts: interval breast cancers at 1 year follow-up”;Corsetti;Eur. J. Canc.,2011

4. Screening breast ultrasound: Past, present, and future;Brem;Am. J. Roentgenol.,2015

5. Improving breast cancer diagnosis with computer-aided diagnosis;Jiang;Acad. Radiol.,1999

Cited by 66 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. Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images;International Journal of Medical Informatics;2024-09

2. New segmentation approach for effective weed management in agriculture;Smart Agricultural Technology;2024-08

3. Uncertainty-aware representation calibration for semi-supervised medical imaging segmentation;Neurocomputing;2024-08

4. Concrete spalling detection system based on semantic segmentation using deep architectures;Computers & Structures;2024-08

5. A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-07-07

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