Invention Grant
- Patent Title: Highly integrated annotation and segmentation system for medical imaging
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Application No.: US15470360Application Date: 2017-03-27
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Publication No.: US10366490B2Publication Date: 2019-07-30
- Inventor: Zhoubing Xu , Carol L. Novak , Atilla Peter Kiraly
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06N3/08 ; G06N3/04 ; G06T7/11 ; G06T11/60

Abstract:
A method for training a segmentation correction model includes performing an iterative model training process over a plurality of iterations. During each iteration, an initial segmentation estimate for an image is provided to a human annotators via an annotation interface. The initial segmentation estimate identifies one or more anatomical areas of interest within the image. Interactions with the annotation interface are automatically monitored to record annotation information comprising one or more of (i) segmentation corrections made to the initial segmentation estimate by the annotators via the annotation interface, and (ii) interactions with the annotation interface performed by the annotators while making the corrections. A base segmentation machine learning model is trained to automatically create a base segmentation based on the image. Additionally, a segmentation correction machine learning model is trained to automatically perform the segmentation corrections based on the image.
Public/Granted literature
- US20180276815A1 Highly Integrated Annotation and Segmentation System for Medical Imaging Public/Granted day:2018-09-27
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