Invention Grant
- Patent Title: Method and analysis devices for classifying tissue samples
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Application No.: US16355693Application Date: 2019-03-15
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Publication No.: US11461897B2Publication Date: 2022-10-04
- Inventor: Marcus Pfister
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Lempia Summerfield Katz LLC
- Priority: EP18162285 20180316
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/143 ; G06K9/62 ; G06V10/10 ; G06V10/44 ; G06V20/69

Abstract:
A method and analysis devices for classifying tissue samples are provided. In the method, annotated training data is generated from a known positive tissue sample and a known negative tissue sample from a patient, and the annotated training data is then used to train an automatic classifier patient-specifically. To delimit an affected tissue region of the patient, then, unknown tissue samples from the same patient are classified by the automatic classifier trained for the patient.
Public/Granted literature
- US20190287246A1 METHOD AND ANALYSIS DEVICES FOR CLASSIFYING TISSUE SAMPLES Public/Granted day:2019-09-19
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