The invention relates to a cholelithiasis intelligent diagnosis APP based on deep learning, wherein the APP relates to the fields of image processing, medical treatment big data and deep learning. Theoperation method of the cholelithiasis intelligent diagnosis APP comprises the following steps of 1), performing data acquisition through a CT scanner, and obtaining a cholelithiasis CT medical image; 2), performing preprocessing of the cholelithiasis CT medical image by a data transmission and analysis unit; 3), according to the preprocessed data, through an intelligent auxiliary diagnosis unit,marking the image by means of an image marking algorithm based on a deep convolutional neural network, performing automatic characteristic extraction and identification on the marked image data by the convolutional neural network after dimension reduction, and analyzing a condition; 4), performing feedback of a diagnosis result to a patient in an electronic medical report, and transmitting a diagnosis record to cloud server for storage and setting a file, thereby supplying to a related constitute and an assigned hospital as a clinical reference; and 5), expanding the data set by the image data after definite diagnosis by a doctor, performing parameter optimization on the model, and improving diagnosis accuracy of the cholelithiasis.