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Updated: Jan 25, 2026

Author Spotlight: Integrating 2D-HPLC-MS and Molecular Networking in Natural Medicine Analysis
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Author Spotlight: Integrating 2D-HPLC-MS and Molecular Networking in Natural Medicine Analysis

Published on: December 8, 2023

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通过基于高频超声波的卷积神经网络识别和定位乳腺瘤组件,结合组织病理学注册:前性研究

Jia-Qian Yao1, Wen-Wen Zhou1,2, Zhi-Fei Chai3

  • 1Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China, +86-020-8776 518.

JMIR medical informatics
|January 23, 2026
PubMed
概括

这项研究开发了一种卷积神经网络,用于在超声波图像中识别乳腺癌区域,通过用整个幻灯片图像 (WSI) 记录它们来实现高精度. FCN-101模型在精确确定癌症区域以改善乳腺癌诊断方面表现出卓越.

关键词:
活组织活检乳房 乳房 乳房 乳房这些都是新生儿瘤.注册注册注册注册注册注册注册注册是什么意思超声波学 超声波学 超声波学

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