Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

Published:2018-11-28 Issue:1 Volume:46 Page:215-228
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Hu Yuzhou¹,Guo Yi¹²,Wang Yuanyuan¹²,Yu Jinhua¹²,Li Jiawei³,Zhou Shichong³,Chang Cai³

Affiliation:

1. Departmentof Electronic Engineering; Fudan University; Shanghai 200433 China

2. Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai; Shanghai 200433 China

3. Department of Ultrasound; Fudan University Shanghai Cancer Center; Shanghai 200032 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13268/fullpdf

Reference44 articles.

1. Cancer statistics, 2017;Siegel;CA,2017

2. Cancer statistics in China, 2015;Chen;CA,2016

3. Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk;Berg;JAMA,2012

4. Diagnosis of breast cancer: contribution of US as an adjunct to mammography;Zonderland;Radiology,1999

5. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions;Stavros;Radiology,1995

Cited by 132 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. Interlayer information fusion-based and dual-attention improved U-Net for ABVS image sequence intelligent tumor segmentation;Biomedical Signal Processing and Control;2024-12

2. MF-Net: Multiple-feature extraction network for breast lesion segmentation in ultrasound images;Expert Systems with Applications;2024-09

3. NeighborNet: Learning Intra- and Inter-Image Pixel Neighbor Representation for Breast Lesion Segmentation;IEEE Journal of Biomedical and Health Informatics;2024-08

4. A deep learning-based method for the detection and segmentation of breast masses in ultrasound images;Physics in Medicine & Biology;2024-07-26

5. Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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