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本文引用的文献

1
AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance.人工智能增强数字乳腺断层合成摄影术在乳腺癌检测中的应用：临床价值及与人类表现的比较。
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2
Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects.人工智能在乳腺癌检测中的应用：技术、挑战与展望。
Eur J Radiol. 2024 Jun;175:111457. doi: 10.1016/j.ejrad.2024.111457. Epub 2024 Apr 16.
3
Rethinking screening mammography in Japan: next-generation breast cancer screening through breast awareness and supplemental ultrasonography.重新思考日本的乳腺癌筛查：通过乳腺意识和补充超声进行下一代乳腺癌筛查。
Breast Cancer. 2024 Jan;31(1):24-30. doi: 10.1007/s12282-023-01506-w. Epub 2023 Oct 12.
4
Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.人工智能计算机辅助检测增强合成乳腺 X 线摄影：在实验环境中与单独的原始数字乳腺 X 线摄影以及与断层合成图像相结合的比较。
Breast Cancer. 2023 Jan;30(1):46-55. doi: 10.1007/s12282-022-01396-4. Epub 2022 Aug 24.
5
Digital Breast Tomosynthesis Slab Thickness: Impact on Reader Performance and Interpretation Time.数字乳腺断层摄影片层厚度：对读片者性能和解读时间的影响。
Radiology. 2020 Dec;297(3):534-542. doi: 10.1148/radiol.2020192805. Epub 2020 Oct 6.
6
Digital breast tomosynthesis for breast cancer screening and diagnosis in women with dense breasts - a systematic review and meta-analysis.数字乳腺断层合成术在致密乳腺女性乳腺癌筛查和诊断中的应用——系统评价和荟萃分析。
BMC Cancer. 2018 Apr 3;18(1):380. doi: 10.1186/s12885-018-4263-3.
7
Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.三维数字乳腺 X 线摄影与断层合成技术在人群乳腺癌筛查中的整合（STORM）：一项前瞻性对比研究。
Lancet Oncol. 2013 Jun;14(7):583-9. doi: 10.1016/S1470-2045(13)70134-7. Epub 2013 Apr 25.
8
Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program.基于人群的筛查项目中数字乳腺 X 线摄影与数字乳腺 X 线摄影加断层合成技术的比较。
Radiology. 2013 Apr;267(1):47-56. doi: 10.1148/radiol.12121373. Epub 2013 Jan 7.

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

作者信息

Kataoka Masako, Uematsu Takayoshi

机构信息

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.).

出版信息

Radiol Imaging Cancer. 2024 Jul;6(4):e240171. doi: 10.1148/rycan.240171.

DOI:10.1148/rycan.240171
PMID:39058299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11287227/
Abstract
摘要