Deep learning model training for X-ray and CT

Systems and methods for training a deep learning network using images of a first modality and images of a second modality to predict a diagnosis of current image learning of one of the first modality and the second modality. The training includes collecting training data, the training data including a plurality of datasets, each dataset including image learning of a first modality and image learning of a second modality for a single patient and clinical cause, training a first branch of the deep learning network using the images of the first modality, and training a second branch of the deep learning network using the images of the second modality. And training a second branch of the deep learning network by using the image of the second modal. 用于利用第一模态的图像和第二模态的图像来训练深度学习网络的系统和方法，以预测第一模态和第二模态之一的当前图像学习的诊断。训练包括收集训练数据，训练数据包括多个数据集，每个数据集包括针对单个患者和临床原因的第一模态的图像学习和第二模态的图像学习，使用第一模态的图像训练深度学习网络的第一分支，以及使用第二模态的图像训练深度学习网络的第二分支。