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Updated: Jun 11, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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在深度学习应用中使用Swin UNETR架构进行脑部MRI扫描以检测心脏病的广泛多标签分类

Jaeho Oh1, Hyunchul An2

  • 1Department of Physical Medicine and Rehabilitation, Seoul Daehyo Rehabilitation Hospital, Yangju, Korea.

Annals of rehabilitation medicine
|August 22, 2024
PubMed
概括

这项研究使用Swin UNEt TRansformers (Swin UNETR) 架构精确区分了心脏病发作类型和位置. 虽然准确,但需要进一步的工作来提高临床诊断的概括性.

关键词:
分类 分类 分类 分类.深度学习是一种深度学习.在心脏病发作.康复 康复 康复 康复

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相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).