Invention Grant
- Patent Title: Systems and methods for detecting laterality of a medical image
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Application No.: US17385762Application Date: 2021-07-26
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Publication No.: US11776150B2Publication Date: 2023-10-03
- Inventor: Khaled Salem Younis , Ravi Soni , Katelyn Rose Nye , Gireesha Chinthamani Rao , John Michael Sabol , Yash N. Shah
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Wauwatosa
- Assignee: GE Precision Healthcare LLC
- Current Assignee: GE Precision Healthcare LLC
- Current Assignee Address: US WI Wauwatosa
- The original application number of the division: US16803209 2020.02.27
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/70 ; G16H30/20 ; G16H30/40 ; G06N3/08 ; G06T7/00 ; G06F18/21 ; G06F18/214 ; G06F18/2413 ; G06F18/2431 ; G06V10/764 ; G06V10/778 ; G06V10/82 ; G06V20/00

Abstract:
An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.
Public/Granted literature
- US20210350186A1 SYSTEMS AND METHODS FOR DETECTING LATERALITY OF A MEDICAL IMAGE Public/Granted day:2021-11-11
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