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Updated: Feb 5, 2026

In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice
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Published on: July 22, 2014

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整合深度学习和放射学,以精确识别动态对比增强MRI的光线A/B乳腺癌亚型

Jianfeng Shangguan1, Elena Shchukina2, Dimitar Monov3

  • 1Radiology Department, Puyang Oilfield General Hospital, Puyang, China. jshangguan@castcn.org.

Cancer imaging : the official publication of the International Cancer Imaging Society
|February 4, 2026
PubMed
概括

一个新的混合成像模型使用动态对比增强MRI (DCE-MRI) 功能准确地区分乳腺癌亚型 (光线A/B). 这种非侵入性方法显示出高精度,可能减少了活检的需要.

关键词:
人工智能在瘤学中的应用乳腺癌 乳腺癌 乳腺癌深度学习是一种深度学习.发光子类型 发光子类型瘤的分类 瘤的分类

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