Suppr超能文献

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.

Abstract
摘要

相似文献

4
Breast Tomosynthesis: Practical Considerations.乳腺断层合成:实际考量
Radiol Clin North Am. 2017 May;55(3):493-502. doi: 10.1016/j.rcl.2016.12.004. Epub 2017 Feb 23.
9
Synthesized Digital Mammography Imaging.合成数字乳腺摄影成像
Radiol Clin North Am. 2017 May;55(3):503-512. doi: 10.1016/j.rcl.2016.12.005. Epub 2017 Feb 14.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验