(EN) The invention relates to an image classification method and device, a computer readable storage medium and a computer device. The method comprises the steps of obtaining a to-be-classified medical image; generating a texture image according to the image data in the region of interest in the medical image; performing feature extraction on the texture image through a first network model to obtain local medical features; performing feature extraction on the medical image through a second network model to obtain global medical features; and performing image classification based on the fusion features of the global medical features and the local medical features. According to the scheme provided by the invention, the accuracy of the medical image classification result can be effectively improved.
(ZH) 本申请涉及一种图像分类方法、装置、计算机可读存储介质和计算机设备，该方法包括：获取待分类的医学图像；根据所述医学图像中感兴趣区域内的图像数据生成纹理图像；通过第一网络模型对所述纹理图像进行特征提取，获得局部医学特征；通过第二网络模型对所述医学图像进行特征提取，获得全局医学特征；基于所述全局医学特征和所述局部医学特征的融合特征进行图像分类。本申请提供的方案可以有效地提高医学图像分类结果的准确性。
