Invention Grant
- Patent Title: Deep learning volume quantifying methods and apparatus
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Application No.: US16634541Application Date: 2018-07-25
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Publication No.: US11657593B2Publication Date: 2023-05-23
- Inventor: Stefan Kluckner , Yao-Jen Chang , Kai Ma , Vivek Singh , Terrence Chen , Benjamin S. Pollack
- Applicant: Siemens Healthcare Diagnostics Inc.
- Applicant Address: US NY Tarrytown
- Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee Address: US NY Tarrytown
- International Application: PCT/US2018/043745 2018.07.25
- International Announcement: WO2019/023376A 2019.01.31
- Date entered country: 2020-01-27
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/62 ; G01N35/00 ; G01N35/04 ; G06V10/44 ; G06F18/2431 ; G06V10/764 ; G06V10/82 ; G06V20/69

Abstract:
A neural network-based method for quantifying a volume of a specimen. The method includes providing a specimen, capturing images of the specimen, and directly classifying to one of a plurality of volume classes or volumes using a trained neural network. Quality check modules and specimen testing apparatus adapted to carry out the volume quantification method are described, as are other aspects.
Public/Granted literature
- US20200265263A1 DEEP LEARNING VOLUME QUANTIFYING METHODS AND APPARATUS Public/Granted day:2020-08-20
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