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Updated: Jul 2, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

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深度学习用于CT扫描中自动检测和定位创伤性腹部固体器官损伤

Chi-Tung Cheng1, Hou-Hsien Lin1, Chih-Po Hsu1

  • 1Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Linkou, Chang Gung University, Taoyuan, Taiwan.

Journal of imaging informatics in medicine
|February 17, 2024
PubMed
概括

深度学习模型 (DLM) 开发用于检测使用CT扫描的腹创伤 (BAT) 患者的固体器官损伤. 这些人工智能工具在帮助临床医生快速识别关键损伤方面表现有前途,改善创伤护理决策.

关键词:
人工智能的人工智能是人工智能.的腹部创伤 的腹部创伤计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.肝脏损伤 肝脏损伤是什么?造成脏损伤的人.脏受伤的伤害是因为脏受伤.

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