Invention Grant
- Patent Title: Determining appropriate medical image processing pipeline based on machine learning
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Application No.: US17359828Application Date: 2021-06-28
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Publication No.: US11694297B2Publication Date: 2023-07-04
- Inventor: Amin Katouzian , Anup Pillai , Chaitanya Shivade , Marina Bendersky , Ashutosh Jadhav , Vandana Mukherjee , Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood
- Applicant: Guerbet
- Applicant Address: FR Villepinte
- Assignee: Guerbet
- Current Assignee: Guerbet
- Current Assignee Address: FR Villepinte
- Agent Stephen J. Walder, Jr.
- Main IPC: G06T1/20
- IPC: G06T1/20 ; G06T7/00 ; G06N20/00 ; G06V20/62

Abstract:
Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.
Public/Granted literature
- US20210327019A1 Determining Appropriate Medical Image Processing Pipeline Based on Machine Learning Public/Granted day:2021-10-21
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