Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography

Author:

Ding Weichang1,Wang Jun1ORCID,Zhou Weijun2,Zhou Shichong3,Chang Cai3,Shi Jun1ORCID

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China

2. Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China

3. Department of Ultrasound, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Wuxi Municipal Health Commission Translational Medicine Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference63 articles.

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2. Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

3. Computerized lesion detection on breast ultrasound

4. Gradient-based learning applied to document recognition

5. SSD: Single shot multibox detector;liu;Proc Eur Conf Comput Vis,2016

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