Invention Grant
- Patent Title: Analysis of skeletal trauma using deep learning
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Application No.: US16128815Application Date: 2018-09-12
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Publication No.: US10762632B2Publication Date: 2020-09-01
- Inventor: Guillaume Chabin , Zhoubing Xu , Amitkumar Bhupendrakumar Shah , Sasa Grbic
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: A61B34/10
- IPC: A61B34/10 ; G06T7/00 ; G06T7/11 ; A61B6/00 ; G06K9/32 ; G06K9/62 ; G06T15/08
Abstract:
Systems and methods for determining whether a bone of a patient is injured are provided. A medical image of a bone of a patient is received. A synthesized bone image is generated over the bone in the medical image to provide a reconstructed image. The synthesized bone image represents uninjured bone. The medical image is compared with the reconstructed image to evaluate an injury to the bone of the patient.
Public/Granted literature
- US20200082530A1 ANALYSIS OF SKELETAL TRAUMA USING DEEP LEARNING Public/Granted day:2020-03-12
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