Invention Grant
- Patent Title: Detection of infarcts using trained network
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Application No.: US16181442Application Date: 2018-11-06
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Publication No.: US10937205B2Publication Date: 2021-03-02
- Inventor: Pooyan Sahbaee Bagherzadeh , Saikiran Rapaka , Puneet Sharma
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06T11/00
- IPC: G06T11/00

Abstract:
A system and method includes acquisition of a first plurality of images, determination, for each of the first plurality of images, of whether an infarct is depicted in the image and generating a label associated with the image based on the determination, acquisition of a second plurality of non-contrast-enhanced computed tomography images, determination, for each of the second plurality of non-contrast-enhanced computed tomography images, of a corresponding one of the first plurality of images, association of each of the second plurality of non-contrast-enhanced computed tomography images with the label associated with its corresponding one of the first plurality of images, and training of a neural network to output a network-generated label, the training based on the second plurality of non-contrast-enhanced computed tomography images and associated labels.
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |