发明申请
- 专利标题： DETERMINING CHARACTERISTICS OF MUSCLE STRUCTURES USING ARTIFICIAL NEURAL NETWORK
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申请号： US17662475申请日： 2022-05-09
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公开(公告)号： US20220392614A1公开(公告)日： 2022-12-08
- 发明人: Michael Schwier , Bernhard Geiger , Sasa Grbic , Esther Raithel , Dana Lin , Guillaume Chabin
- 申请人： Siemens Healthcare GmbH , New York University
- 申请人地址： DE Erlangen; US NY New York
- 专利权人： Siemens Healthcare GmbH,New York University
- 当前专利权人： Siemens Healthcare GmbH,New York University
- 当前专利权人地址： DE Erlangen; US NY New York
- 优先权： EP21177272.8 20210601
- 主分类号： G16H30/20
- IPC分类号： G16H30/20 ; G06N3/04 ; G06T7/10
摘要：
Techniques of determining a quantification of at least one characteristic of a muscle structure comprising at least one muscle and at least one tendon are disclosed. The quantification of the at least one characteristic of the rotator cuff may be determined by using at least one artificial neural network and based on one or more medical images depicting the muscle structure of a patient.