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Updated: Feb 27, 2026

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
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基于MRI的膀癌分期通过YOLOv11细分和深度学习分类

Phisit Katongtung1, Kanokwatt Shiangjen1, Watcharaporn Cholamjiak2

  • 1School of Information and Communication Technology, University of Phayao, Phayao 56000, Thailand.

Diseases (Basel, Switzerland)
|February 26, 2026
PubMed
概括

这项研究引入了一种自动化的深度学习框架,用于使用MRI扫描进行膀癌分期. 人工智能模型在区分非肌肉侵入性和肌肉侵入性疾病方面表现出高准确性,支持标准化放射学解释.

关键词:
这就是为什么MRI是MRI.膀癌的分期 膀癌的分期深度学习是一种深度学习.混合细分化混合细分化支持以放射学为导向的工作流程.

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