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Updated: Jun 10, 2025

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在与放射科医生比较性能之前,使用MRI放射学上的机器学习来诊断状腺瘤:试点研究

Samy Ammari1,2, Arnaud Quillent3, Víctor Elvira4

  • 1Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.

Journal of imaging informatics in medicine
|October 10, 2024
PubMed
概括

使用MRI放射学的机器学习可以分类状腺瘤,提高初级放射科医生的诊断准确度,并可能减少对良性或恶性瘤的不必要手术.

关键词:
人工智能益处分析分析机器学习 机器学习腺腺体 腺体无线电学 (Radiomics) 是一种辐射学.

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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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