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Updated: Jan 27, 2026

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增强胃肠道 stromal 瘤风险分层:一种新的深度学习方法应用于EUS成像

Hui Qu1, Fei Yang2, Tingting Chen3

  • 1College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China.

Endoscopic ultrasound
|January 26, 2026
PubMed
概括

一种新的深度学习模型使用内镜超声波 (EUS) 图像显著改善了胃肠道 stromal 瘤 (GIST) 风险预测,达到92.65%的准确性. 这增强了GIST分类和瘤学中的患者管理.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.欧盟安全部队 (EUS)胃肠道 stromal 瘤 在胃肠道风险分层是指风险的分层.

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