Invention Grant
- Patent Title: Segmentation, landmark detection and view classification using multi-task learning
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Application No.: US16272169Application Date: 2019-02-11
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Publication No.: US10910099B2Publication Date: 2021-02-02
- Inventor: Zhoubing Xu , Yuankai Huo , Jin-hyeong Park , Sasa Grbic , Shaohua Kevin Zhou
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G16H30/40
- IPC: G16H30/40 ; G06T7/00 ; G06T7/11 ; G06K9/62 ; G06K9/34

Abstract:
Medical image data may be applied to a machine-learned network learned on training image data and associated image segmentations, landmarks, and view classifications to classify a view of the medical image data, detect a location of one or more landmarks in the medical image data, and segment a region in the medical image data based on the application of the medical image data to the machine-learned network. The classified view, the segmented region, or the location of the one or more landmarks may be output.
Public/Granted literature
- US20190259493A1 SEGMENTATION, LANDMARK DETECTION AND VIEW CLASSIFICATION USING MULTI-TASK LEARNING Public/Granted day:2019-08-22
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