Invention Grant
- Patent Title: Method, device and system for remote deep learning for microscopic image reconstruction and segmentation
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Application No.: US16219986Application Date: 2018-12-14
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Publication No.: US10903043B2Publication Date: 2021-01-26
- Inventor: Remco Schoenmakers , Maurice Peemen , Faysal Boughorbel , Pavel Potocek
- Applicant: FEI Company
- Applicant Address: US OR Hillsboro
- Assignee: FEI Company
- Current Assignee: FEI Company
- Current Assignee Address: US OR Hillsboro
- Priority: EP17208266 20171218
- Main IPC: G06T7/10
- IPC: G06T7/10 ; H01J37/28 ; G06N3/08 ; H01J37/26 ; G06T7/174 ; G06N3/02 ; G06N20/00

Abstract:
The present invention relates to a method of training a network for reconstructing and/or segmenting microscopic images comprising the step of training the network in the cloud. Further, for training the network in the cloud training data comprising microscopic images can be uploaded into the cloud and a network is trained by the microscopic images. Moreover, for training the network the network can be benchmarked after the reconstructing and/or segmenting of the microscopic images. Wherein for benchmarking the network the quality of the image(s) having undergone the reconstructing and/or segmenting by the network can be compared with the quality of the image(s) having undergone reconstructing and/or segmenting by already known algorithm and/or a second network.
Public/Granted literature
- US20190287761A1 Method, device and system for remote deep learning for microscopic image reconstruction and segmentation Public/Granted day:2019-09-19
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