Web-based training for radiologists of breast ultrasound

Xianhai Huang, Lijuan Ling, Qinghua Huang, Yidi Lin, Xingzhang Long, Longzhong Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Breast cancer is still considered as the most common form of cancer as well as the leading causes of cancer deaths among women all over the world. Fortunately, the mortality of breast cancer can be significantly reduced via the early detection and diagnosis of breast cancer. As one of the most continually used diagnosis tools, ultrasonography (US) scan plays an important role in the detection and classification of the breast tumor. In this paper, we introduce a large breast ultrasound image database which stored breast ultrasound images and pathology results from breast tumor patients as well as their clinic diagnostic information. Furthermore, we design a web-based training system based on the database using a feature scoring scheme which based on the fifth edition of Breast Imaging Reporting and Data System (BI-RADS) lexicon for US. This online training system (new web-based teaching framework) automatically creates case-based exercises to train and guide the newly employed or resident sonographers for diagnosis of breast cancer using breast ultrasound images based on the BI-RADS.

源语言英语
主期刊名Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
编辑Qingli Li, Lipo Wang, Mei Zhou, Li Sun, Song Qiu, Hongying Liu
出版商Institute of Electrical and Electronics Engineers Inc.
1-6
页数6
ISBN(电子版)9781538619377
DOI
出版状态已出版 - 2 7月 2017
已对外发布
活动10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, 中国
期限: 14 10月 201716 10月 2017

出版系列

姓名Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
2018-January

会议

会议10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
国家/地区中国
Shanghai
时期14/10/1716/10/17

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