AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges-Reference-Cited by-同舟云学术

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AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges

Published:2024-07-01 Issue:4 Volume:6 Page:
ISSN:2638-616X
Container-title:Radiology: Imaging Cancer
language:en
Short-container-title:Radiology: Imaging Cancer

Author:

Kataoka Masako¹^ORCID,Uematsu Takayoshi¹^ORCID

Affiliation:

1. From the Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoinkawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan (M.K.); and Department of Breast Imaging and Breast Interventional Radiology, Shizuoka Cancer Center Hospital, Nagaizumi, Japan (T.U.).

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/rycan.240171

Reference8 articles.

1. Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program

2. Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study

3. Digital breast tomosynthesis for breast cancer screening and diagnosis in women with dense breasts – a systematic review and meta-analysis

4. Digital Breast Tomosynthesis Slab Thickness: Impact on Reader Performance and Interpretation Time

5. AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance

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