Le N Lu

US Patent:

20210056684, Feb 25, 2021

Filed:

Aug 21, 2019

Appl. No.:

16/546627

Inventors:

- Shenzhen, CN
Adam Patrick Harrison - Silver Spring MD, US
Jiawen Yao - College Park MD, US
Le Lu - Poolesville MD, US

International Classification:

G06T 7/00
G16H 30/40
G16H 30/20

Abstract:

A medical image classification method such as CT (or CAT) scans includes receiving the CT scan or medical image, inputting the medical image into an image classification model, which provides a cross entropy (CE) loss function and an aggregated cross entropy (ACE) loss function. According to the ACE loss function, image samples with generic label are used as input data during model training. The medical image can be classified by using the image classification model, and a classification of the medical image is thereby obtained. The present disclosure can classify indeterminate or general medical images and even unlabeled images and thus realize supervision of medical data. A device for applying the method is also provided.