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头部和部部位的危险器官 (OAR) 的多器官细分使用集体学习技术

S Singh1, B K Singh2, A Kumar3

  • 1Department of Physics, GLA University, Mathura, Uttar Pradesh, India; Department of Radiation Oncology, Division of Medical Physics, Rajiv Gandhi Cancer Institute and Research Center, New Delhi, India.

Radiography (London, England : 1995)
|February 16, 2024
PubMed
概括

使用深度学习和合并方法对头癌患者的风险器官进行自动细分,可显著提高放射治疗规划的准确性和效率.

关键词:
深度学习是一种深度学习.在 DenseNet-FCNN 找组合学习学习 组合学习多机关细分化多机关细分化

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