Title:
MEDICAL IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, COMPUTING DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/253773
Kind Code:
A1
Abstract:
Provided are a medical image classification method, a model training method and a server. The medical image classification method includes: acquiring a data set of medical images (501); performing quality analysis on the data set of medical images to extract feature information (502); based on the feature information, using a pre-trained neural network to classify the medical images (503) to obtain the classification result.
Inventors:
XIAO KAIWEN (CN)
HAN XIAO (CN)
YE HU (CN)
ZHOU NIYUN (CN)
HAN XIAO (CN)
YE HU (CN)
ZHOU NIYUN (CN)
Application Number:
PCT/CN2020/096797
Publication Date:
December 24, 2020
Filing Date:
June 18, 2020
Export Citation:
Assignee:
TENCENT TECH SHENZHEN CO LTD (CN)
International Classes:
G06T7/90
Foreign References:
CN110232719A | 2019-09-13 | |||
CN110428475A | 2019-11-08 | |||
CN109815965A | 2019-05-28 | |||
CN108364017A | 2018-08-03 | |||
CN109522960A | 2019-03-26 | |||
US20180253624A1 | 2018-09-06 |
Attorney, Agent or Firm:
DEQI INTELLECTUAL PROPERTY LAW CORPORATION (CN)
Download PDF:
Previous Patent: ELECTROMAGNETIC SHIELDING FILM
Next Patent: APPARATUS FOR MANUFACTURING FOAM PLASTIC BY ADOPTING RF AND WORKING METHOD OF THE SAME
Next Patent: APPARATUS FOR MANUFACTURING FOAM PLASTIC BY ADOPTING RF AND WORKING METHOD OF THE SAME