Automated diagnosis of breast ultrasonography images using deep neural networks

Author:

Qi Xiaofeng,Zhang Lei,Chen Yao,Pi Yong,Chen Yi,Lv Qing,Yi Zhang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference32 articles.

1. Combining Nakagami imaging and convolutional neural network for breast lesion classification;Byra,2017

2. Classification of breast ultrasound images using fractal feature;Chen;Clin. Imag.,2005

3. Chen, T., Li, M., Li, Y., Lin, M., Wang, N., Wang, M., Xiao, T., Xu, B., Zhang, C., Zhang, Z., 2015. Mxnet: a flexible and efficient machine learning library for heterogeneous distributed systems. arXiv:1512.01274.

4. Computer-aided diagnosis with deep learning architecture: applications to breast lesions in us images and pulmonary nodules in ct scans;Cheng;Sci. Rep.,2016

5. The global burden of cancer 2013;Fitzmaurice;JAMA Oncol.,2015

全球学者库

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

"全球学者库"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,当前全球学者库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 © 2019-2023 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