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:
Oct. 11, 2022

Filed:

Oct. 28, 2019
Applicant:

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Fei Ren, Beijing, CN;

Zhiyong Liu, Beijing, CN;

Yudong Liu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06V 10/82 (2022.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/764 (2022.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/7267 (2013.01); G06V 10/267 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); A61B 2576/02 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

The invention relates to a TMB classification method and system and a TMB analysis device based on a pathological image, comprising: performing TMB classification and marking and pre-processing on a known pathological image to construct a training set; training a convolutional neural network by means of the training set to construct a classification model; pre-processing a target pathological image of a target case to obtain a plurality of target image blocks; classifying the target image blocks by means of the classification model to acquire an image block TMB classification result of the target case; and acquiring an image TMB classification result of the target case by means of classification voting using all the image block TMB classification results. The invention further relates to a TMB analysis device based on a pathological image. The TMB classification method of the invention has advantages of accuracy, a low cost and fast rapid.


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