The invention discloses a
lung cancer TNM staging acquisition method. The method comprises the following steps of identifying a target nodule in a medical image; acquiring long and short paths of thetarget nodule, and generating T stages at least based on the long and short path; identifying abnormal
lymph nodes in the medical image, and generating N stages by judging whether the abnormal
lymph nodes have
metastasis or not; acquiring whether the target nodule has
distant metastasis or not, and generating M stages according to whether the target nodule has
distant metastasis or not; and generating a TNM stage according to the T stage, the N stage and the M stage. According to the method, a nodule recognition model, a nodule segmentation model and a
lymph node metastasis recognition model are trained, the information outputted by the models is utilized to automatically generate a T stage and an N stage, and whether
distant metastasis information is generated into an M stage or not is judged in combination with doctor input or by accessing medical records and the like. According to the method,
TNM staging generation efficiency is effectively improved, a doctor can conveniently and quickly know the illness state of a patient, and diagnosis efficiency is improved.