Development of a real-time markerless tracking system for pancreatic cancer in carbon ion radiation therapy using deep learning

肺癌是世界上最致命的癌症之一。肺癌患者中的三分之一死亡与肿瘤进展有关。因此，一种治疗方法，可以改善局部肿瘤控制，以改善整体存活率。今年的目标将侧重于开发一个基于患者表面上目标位置的预测模型，将成为研究的基础。遵循的步骤是：·获取患者数据、数据预处理和挖掘·使用经常神经网络来创建肿瘤位置的预测模型。

Pancreatic cancer is one of the most lethal cancers. One in three deaths in pancreatic cancer patients is related to tumor progression. Therefore, treatment methods that improve local tumor control may lead to better overall survival. The purpose for this year was to focus on developing a prediction model for the location of the target based on the surface of the patient, which will be the basis for the research. The following steps were taken:・ Acquisition of patient data, data preprocessing, and mining・ Use of recurrent neural networks to create prediction models for the location of the tumor.