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Updated: Sep 9, 2025

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在CT图像中使用深度学习进行自动瘤细分:多阶段方法

Hung-Cheng Kan1, Geng-Ming Fan2, Ming-Hao Wei3

  • 1In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.-C.K., S.-J.P.); Division of Urology, Department of Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan (H.-C.K., P-H.L., I.-H.S., K.-J.Y., S.-T.P., T.W.); College of Medicine, Chang Gung University, Taoyuan, Taiwan (H.-C.K., P-H.L., I.-H.S., K.-J.Y., S.-T.P., T.W.).

Academic radiology
|September 4, 2025
PubMed
概括

这项研究引入了DeepMedic自动化3D卷积神经网络,用于CT扫描中细分脏和瘤. 人工智能模型提供了准确和可重现的结果,提高了瘤诊断效率.

关键词:
计算机断层扫描深度学习患有脏瘤分段化

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