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:
Aug. 09, 2022

Filed:

Oct. 31, 2019
Applicant:

Tencent America Llc, Palo Alto, CA (US);

Inventors:

Chao Huang, Palo Alto, CA (US);

Zhen Qian, Santa Clara, CA (US);

Hui Tang, Mountain View, CA (US);

Yusheng Xie, Mountain View, CA (US);

Shihyao Lin, Palo Alto, CA (US);

Kun Wang, San Jose, CA (US);

Xiaozhong Chen, Cedarburg, WI (US);

Lianyi Han, Palo Alto, CA (US);

Zhimin Huo, Palo Alto, CA (US);

Wei Fan, New York, NY (US);

Assignee:

TENCENT AMERICA LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/469 (2013.01); A61B 6/501 (2013.01); A61B 6/5217 (2013.01); A61B 6/5223 (2013.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06V 10/25 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30196 (2013.01); G06V 2201/03 (2022.01);
Abstract

A method and apparatus include receiving a three dimensional (3D) non-contrast computed tomography (NCCT) image of a head including a hematoma. A plurality of two dimensional (2D) images of the head including the hematoma are generated using the 3D NCCT image of the head including the hematoma. A plurality of 2D hematoma images are generated using a first 2D convolutional neural network (CNN) based on the plurality of 2D images. A 3D region of interest (ROI) that encompasses the hematoma is identified based on the plurality of 2D hematoma images. A plurality of 2D images that correspond to the ROI are generated. A hematoma expansion (HE) prediction score is determined using a second CNN based on the plurality of 2D images that correspond to the ROI. The HE prediction score is provided.


Find Patent Forward Citations

Huang, Chao. (2022). Two and a half dimensional convolutional neural network for predicting hematoma expansion in non-contrast head computerized tomography images (U.S. Patent No. 11410302). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11410302

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