公开(公告)号：US20220343638A1

公开(公告)日：2022-10-27

申请号：US17763513

申请日：2019-11-19

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Shuqiang WANG ,  Wen YU ,  Yanyan SHEN ,  Zhuo CHEN

IPC: G06V10/80 ,  G06V10/82 ,  G06V10/20 ,  G06T7/00 ,  G16H30/40

Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.