Disease detection method, system and device based on multi-modal image and storage medium

The invention discloses a disease detection method, system and device based on a multi-modal image and a storage medium. The method comprises the following steps: acquiring multi-modal image data; preprocessing the multi-modal image data to obtain preprocessed data; inputting the preprocessed data into a pre-feature extraction model to obtain pre-feature data; the pre-feature extraction model extracts feature data of a multi-modal image in a mode of sharing convolution weight of multi-modal image data; and inputting the pre-feature data into a feature fusion model to obtain a disease classification result corresponding to the multi-modal image data. By means of the method, disease detection of small samples and multi-modal images can be achieved, and the detection efficiency and accuracy can be improved. The method can be widely applied to the technical field of computers. 本申请公开了一种基于多模态影像的疾病检测方法、系统、装置及存储介质。该方法包括：获取多模态影像数据；将所述多模态影像数据进行预处理，得到预处理数据；将所述预处理数据输入前置特征提取模型，得到前置特征数据；所述前置特征提取模型通过将多模态影像数据共享卷积权重的方式，提取多模态影