Author:
Han Chengcheng,Lin Qiang,Man Zhengxing,Cao Yongchun,Wang Haijun
Abstract
Abstract
The SPECT diagnostic text contains several aspects of the patient’s personal information, image description, and suggested results. In order to construct a diagnostic model of nuclear medical text, a classification method of nuclear medical text based on deep learning was proposed. TextCNN was applied to propose the classification method of diseases. A set of real nuclear medical text data was used to verify the proposed method, the experimental results show that the proposed method has a good classification effect.
Subject
General Physics and Astronomy