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Updated: Jan 24, 2026

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基于深度学习的自动化对比液囊分析,以改善对赫施普隆病的评估

Paulina Vargova1,2, Matej Varga3, Beatriz Izquierdo Hernandez4

  • 1Department of Pediatric Surgery, Miguel Servet University Hospital, Zaragoza, Spain. pamivarg@gmail.com.

European radiology
|January 22, 2026
PubMed
概括

深度神经网络 (DNN) 在分析希尔施普隆病 (HD) 的对比溶液中表现有前途,为专家放射科医生提供了可比的诊断性能. 这种人工智能工具可以帮助标准化诊断,特别是在复杂的病例或资源有限的环境中.

关键词:
人工智能, 希尔施普朗格病形成对比的阴囊.机器学习 机器学习

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