Invention Grant
- Patent Title: Method and system for the classification of materials by means of machine learning
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Application No.: US16133889Application Date: 2018-09-18
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Publication No.: US10824857B2Publication Date: 2020-11-03
- Inventor: Thomas Flohr , Bernhard Schmidt
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: SIEMENS HEALTHCARE GMBH
- Current Assignee: SIEMENS HEALTHCARE GMBH
- Current Assignee Address: DE Erlangen
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@57972c77
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; A61B6/00 ; A61B6/03 ; G06T7/11 ; G06N20/00 ; G06T7/00

Abstract:
A method is for creating a classification unit for the automatic classification of materials. An embodiment of the method includes provision of a learning computing device; provision of a start classification unit; provision of a reference image set including spectral reference recordings with annotated materials; and training of the classification unit with the reference recording set. Furthermore, a classification method is for the automatic classification of materials in an image recording. An embodiment of the classification method includes provision of a trained classification unit; provision of a spectral image recording; examination of the image recording for materials via the classification unit; and identification of the determined materials. Furthermore, a classification unit, a learning computing device, a control device and a medical imaging system are disclosed.
Public/Granted literature
- US20190102621A1 METHOD AND SYSTEM FOR THE CLASSIFICATION OF MATERIALS BY MEANS OF MACHINE LEARNING Public/Granted day:2019-04-04
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