The invention provides a histopathological image classification method based on the
convolutional neural network. The method mainly comprises steps that a
data set is established, a fine-tuning protocol is adopted and carried out, a pre-trained
convolutional neural network is taken as a characteristic extractor and a fine-tuned CNN is taken as a classifier, for the process, firstly, images of different body parts with different texture patterns are manually selected from the scan, patch selection and accuracy calculation are carried out, secondly, a specific single-layer complete connection layer is selected for network training, thirdly, the pre-trained CNN is taken as the characteristic extractor, depth characteristics are utilized to
train the linear
support vector machine (SVM) for classification, and lastly, the fine-tuned CNN is taken as the classifier, and the acquired network is utilized to classify test patches. The method is advantaged in that the
data set is utilized to design and
train the deep network, details are richer, the data is more perfect, retrieval and classification accuracy is significantly improved, and classification of histopathological images is effectively realized.