Patent ID: 11872069
Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A method comprising steps of:
A) obtaining plural pieces of training data each of which includes a different radiographic image of a bone and has a label indicating one of an overt fracture, an occult fracture and no fracture, wherein the plural pieces of training data include at least one piece of training data each having the label indicating occult fracture;
B) using the plural pieces of training data to pre-train a deep convolutional network (DCN) model to obtain a preliminary DCN model;
C) determining a subset of the plural pieces of training data by at least excluding any piece of training data that has the label indicating occult fracture;
D) using the subset to train the preliminary DCN model to obtain a first DCN model, wherein the first DCN model, when receiving a piece of input data that includes a radiographic image of a bone under examination, outputs a score that indicates probability of overt fracture existing in the radiographic image of the bone under examination;
E) determining multiple pieces of control data each of which includes a different radiographic image of a bone and, when being inputted to the first DCN model, enables the first DCN model to output a score indicating a probability of overt fracture that is lower than a predetermined threshold; and
F) using the multiple pieces of control data and said any piece of training data, the label of which indicates occult fracture, that was excluded in step C) to train the first DCN model to obtain a second DCN model, wherein the second DCN model, when receiving another piece of input data that includes a radiographic image of a bone under examination, outputs a score indicating probability of occult fracture existing in the radiographic image.