The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 30, 2024

Filed:

Apr. 24, 2020
Applicant:

Nanjing Turing Microbial Technologies Co. Ltd, Jiangsu, CN;

Inventors:

Zhongxiao Wang, Jiangsu, CN;

Wei Wu, Jiangsu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/26 (2022.01); G06V 10/70 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 20/69 (2022.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/87 (2022.01); G06V 10/95 (2022.01); G06V 10/955 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G16H 50/20 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/03 (2022.01);
Abstract

An artificial intelligence (AI)-based medical image automatic diagnosis system and method. The method comprises: acquiring a medical microscope image and corresponding diagnostic data; annotating the medical microscope images to obtain annotation data corresponding to the medical microscope images; building a training set and a test set on the basis of the diagnostic data and annotation data corresponding to the medical microscope images; and performing training on the basis of a deep learning model to obtain the optimal AI classification model and the optimal AI semantic segmentation model to implement the automatic diagnosis of the medical microscope image of a test sample. The system and method can effectively save human resources, shorten the diagnosis time, and improve diagnosis accuracy.


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