A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Qian, Xuejun;Zhang, Bo;Liu, Shaoqiang;Wang, Yueai;Chen, Xiaoqiong;...

通讯作者：

Chen, ZY

作者机构：

[Zhou, Qifa; Chen, Zeyu; Qian, Xuejun; Chen, ZY] Univ Southern Calif, Keck Sch Med, Los Angeles, CA 90033 USA.

[Shung, K. Kirk; Zhou, Qifa; Qian, Xuejun] Univ Southern Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA.

[Shung, K. Kirk; Zhou, Qifa; Qian, Xuejun] Univ Southern Calif, NIH Resource Ctr Med Ultrason Transducer Technol, Los Angeles, CA 90089 USA.

[Zhang, Bo] Cent South Univ, Xiangya Hosp, Ultrasound Imaging Dept, Changsha 410083, Hunan, Peoples R China.

[Liu, Shaoqiang] Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.

通讯机构：

[Chen, ZY ] U

Univ Southern Calif, Keck Sch Med, Los Angeles, CA 90033 USA.

Cent South Univ, Xiangya Hosp, Aluminium Sci & Technol Bldg, Changsha 410083, Hunan, Peoples R China.

语种：

英文

关键词：

B-mode ultrasound;Color Doppler;Breast mass;Neural network;Breast Imaging-Reporting and Data System categories

期刊：

European Radiology

ISSN：

0938-7994

年：

2020

卷：

期：

页码：

3023-3033

DOI：

10.1007/s00330-019-06610-0

基金类别：

The authors state that this work has not received any funding.

机构署名：

本校为其他机构

院系归属：

第一中医临床学院

摘要：

Objectives: To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses. Materials and methods: A combined US B-mode and color Doppler neural network model was developed to classify US images of the breast. Three datasets with breast masses were originally detected and interpreted by 20 experienced radiologists according to Breast Imaging-Reporting and Data System (BI-RADS) lexicon ((1) training set, 103212 masses from 45,433 + 12,519 patients. (2) held-out validation set, 2748 masses from 1197 + 395 pat...

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A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network

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