SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis-Reference-Cited by-同舟云学术

SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis

Published:2022 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Sun Haotian¹^ORCID,Wu Shandong²^ORCID,Chen Xinjian³^ORCID,Li Ming¹^ORCID,Kong Lingji⁴^ORCID,Yang Xiaodong¹^ORCID,Meng You⁵,Chen Shuangqing⁶,Zheng Jian¹^ORCID

Affiliation:

1. School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

2. Department of Bioengineering, Department of Intelligent Systems, and Department of Computer Science, Department of Radiology, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA

3. School of Electronics and Information Engineering and the State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, China

4. Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA

5. Department of Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China

6. Gusu School, Nanjing Medical University, Suzhou, China

Funder

Suzhou Science and Technology Bureau

Research Project of Gusu School of Nanjing Medical University

Applied Basic Research Project in Suzhou

Beijing CSCO Clinical Oncology Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09926006.pdf?arnumber=9926006

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