An intelligent analysis method and system for a panoramic digital pathological image. The method comprises: inputting a pathological image slice to be analyzed into an attention mechanism-based convolutional neural network model, extracting features of different scales of a pathological image, and fusing the extracted features to obtain fusion features; and inputting the fusion features into a trained pathological image classifier to obtain the classification result about whether the pathological image slice contains cancerization or not. According to the method, intelligent panoramic digital pathological image analysis is realized, the features of different scales are considered and the weight is given, so that the cost of manually analyzing and classifying the data is effectively saved, and the problem of excessive dependence on the technical level of doctors is avoided, the manpower and material resource cost of the doctors is greatly saved, and more cancer patients can be diagnosed and treated in time.
INTELLIGENT ANALYSIS SYSTEM AND METHOD FOR PANORAMIC DIGITAL PATHOLOGICAL IMAGE