Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network

Published:2020-07 Issue: Volume:190 Page:105360
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Moon Woo Kyung,Huang Yao-Sian,Hsu Chin-Hua,Chang Chien Ting-Yin,Chang Jung Min,Lee Su Hyun,Huang Chiun-Sheng,Chang Ruey-Feng

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. Cancer statistics;Siegel;CA Cancer J. Clin.,2019

2. Early detection of breast cancer and the interpretation of results of survival studies;Migowski;Cien. Saude Colet.,2015

3. Breast ultrasonography: state of the art;Hooley;Radiology,2013

4. The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women;Vourtsis;Eur. Radiol.,2018

5. Current status of automated breast ultrasonography;Shin;Ultrasonography,2015

Cited by 30 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. Swin transformer-based fork architecture for automated breast tumor classification;Expert Systems with Applications;2024-12

2. Mass detection in automated three dimensional breast ultrasound using cascaded convolutional neural networks;Physica Medica;2024-08

3. Unimodal Approach for Detection and Classification of Breast Cancer Using Mask Scoring R-CNN;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

4. Tumor detection based on deep mutual learning in automated breast ultrasound;Multimedia Tools and Applications;2024-01-29

5. 3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net;Scientific Reports;2023-12-18

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