The invention discloses a
pulmonary nodule morphological classification method based on a neural network. The
pulmonary nodule morphological classification method comprises the following steps of 1,
data preparation; wherein in the stage, data is imported from a hospital
data system, and pulmonary nodules to be classified are calibrated; 2, data preprocessing: preprocessing the data at the stage,mainly including preprocessing of an original CT image and interception of a nodule region; 3, constructing a multi-scale three-dimensional residual
network model, and training the model by using theacquired data and a
calibration result; 4, repeating the step 3, and constructing and training various morphological classification models; and 5, classifying the pulmonary nodules automatically detected by the detection task by using the models trained in the steps 3 and 4, and outputting
pulmonary nodule morphological characteristic information predicted by the model. According to the method, three scales of nodules are intercepted to serve as input of a network of corresponding scale residuals, depth features of the nodules of the three scales are extracted, and finally a final
classification result is obtained through fusion and integration of three models.