Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis-Reference-Cited by-同舟云学术

Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis

Published:2019-02-14 Issue:3 Volume:46 Page:1300-1308
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Zhang Fan¹²,Wu Shandong³,Zhang Cheng²,Chen Qian⁴,Yang Xiaodong²,Jiang Ke⁴,Zheng Jian²

Affiliation:

1. University of Science and Technology of China; Hefei 230026 China

2. Department of Medical Imaging; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 China

3. Departments of Radiology, Biomedical Informatics, Bioengineering, Intelligent Systems, and Computer Science; University of Pittsburgh; 4200 Fifth Ave Pittsburgh PA 15260 USA

4. Department of Radiology; The Affiliated Suzhou Hospital of Nanjing Medical University; Suzhou 215000 China

Funder

National Program on Key Research and Development Project

National Nature Science Foundation of China

Nature Science Foundation of Jiangsu Province

Fudan University-SIBET Medical Engineering Joint Fund

Suzhou Key laboratory of Medical Physics and Technology

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13394/fullpdf

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3. Advances in digital breast tomosynthesis;Hooley;Am J Roentgenol,2016

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5. Digital breast tomosynthesis: observer performance study;Gur;Am J Roentgenol,2009

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