Invention Grant
- Patent Title: Method and system for generating a confidence score using deep learning model
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Application No.: US16263076Application Date: 2019-01-31
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Publication No.: US10997717B2Publication Date: 2021-05-04
- Inventor: Pascal Ceccaldi , Peter Mountney , Daniel Toth , Serkan Cimen
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Schiff Hardin LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06N3/08 ; G06T7/10 ; G16H30/40 ; G06K9/46 ; G06T7/30

Abstract:
In a system and method for analyzing images, an input image is provided to a computer and is processed therein with a first deep learning model so as to generate an output result for the input image; and applying a second deep learning model is applied to the input image to generate an output confidence score that is indicative of the reliability of any output result from the first deep learning model for the input image.
Public/Granted literature
- US20200250812A1 METHOD AND SYSTEM FOR IMAGE ANALYSIS Public/Granted day:2020-08-06
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