A computer-aided diagnosis system for presenting tumor malignancy and an inference basis thereof comprises a malignancy prediction unit, an association prediction unit, and a sentence generation unit. The malignancy prediction unit outputs tumor malignancy through a malignancy prediction model having learned on the basis of deep learning so as to predict the tumor malignancy from a tumor image. The association prediction unit extracts a shape attribute vector by digitizing the features of a tumor shape from the tumor image, alters the shape of the tumor image by changing item-specific attribute numerical values of the shape attribute vector, compares the tumor malignancy predicted for the altered tumor image and the tumor malignancy predicted for an original tumor image so as to analyze the influence of the changed shape attribute on malignancy and predict the association thereof, and digitizes the degree of association and outputs same. The sentence generation unit creates a description with a tumor malignancy and inference basis sentence for the tumor image on the basis of the output of the malignancy prediction unit and the output of the association prediction unit.
COMPUTER-AIDED DIAGNOSIS SYSTEM FOR PROVIDING TUMOR MALIGNANCY AND BASIS OF MALIGNANCY INFERENCE AND METHOD THEREFOR