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:
Feb. 20, 2024

Filed:

Apr. 08, 2021
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Weijia Lu, Shenzhen, CN;

Jianhua Yao, Shenzhen, CN;

Xiao Han, Shenzhen, CN;

Niyun Zhou, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 20/40 (2022.01); G02B 21/36 (2006.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06V 20/41 (2022.01); G02B 21/365 (2013.01); G06N 3/045 (2023.01); G06T 7/0012 (2013.01); G06V 20/46 (2022.01); G06T 2207/10056 (2013.01);
Abstract

Embodiments of this application disclose methods, systems, and devices for medical image analysis and medical video stream processing. In one aspect, a method comprises extracting video frames from a medical image video stream that includes at least two pathological-section-based video frames. The method also comprises identifying single-frame image features in the video frames, mapping the single-frame image features into single-frame diagnostic classification results, and performing a classification mapping based on a video stream feature sequence that comprises the single-frame image features. The classification mapping comprises performing a convolution operation on the video stream feature sequence through a preset convolutional layer, obtaining a convolution result in accordance with the convolution operation, and performing fully connected mapping on the convolution result through a preset fully connected layer. In accordance with the classification mapping, a target diagnostic classification result corresponding to the medical image video stream is determined.


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