The invention discloses a medical image classification method and system based on machine learning. The method comprises the following steps: acquiring a medical image test set; inputting the medicalimage test set into a trained convolutional neural network feature extraction network to obtain a test feature initial set; performing alignment fusion and feature dimension reduction on the test feature initial set to obtain a test feature set; performing random sampling on the medical image test set and the test feature set in sequence by adopting a self-service sampling method to obtain a plurality of test sample subsets; inputting the test sample subset into a corresponding trained extreme learning machine model to obtain an initial classification result of the test set; and inputting theinitial classification results of the plurality of test sets into a trained random forest model to obtain a medical image test set classification result. According to the method, the classification accuracy can be improved while the classification efficiency is improved.
Medical image classification method and system based on machine learning