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US Patent 11790297 Model-assisted annotating system and methods for use therewith

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Enlitic
Enlitic
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11790297
Patent Inventor Names
Eric C. Poblenz
Anthony Upton
Li Yao
Jordan Prosky
Kevin Lyman
Lionel Lints
Ben Covington
Date of Patent
October 17, 2023
Patent Application Number
17573184
Date Filed
January 11, 2022
Patent Citations
‌
US Patent 8303505 Methods and apparatuses for image guided medical procedures
‌
US Patent 9165360 Methods, systems, and devices for automated analysis of medical scans
‌
US Patent 9569736 Intelligent medical image landmark detection
‌
US Patent 9760978 Missing region prediction
‌
US Patent 9579518 Nerve treatment system
‌
US Patent 7123762 Method and system for risk-modulated diagnosis of disease
‌
US Patent 7418123 Automated method and system for computerized image analysis for prognosis
‌
US Patent 7813822 Intelligent electronic appliance system and method
...
Patent Primary Examiner
‌
John A Pauls
CPC Code
‌
G16H 50/20
‌
G16H 10/60
Patent abstract

A model-assisted annotating system is operable to receive a first set of annotation data, corresponding to a broad type of annotation data output. A first training step is performed to train a computer vision model using the first set of annotation data. A second set of annotation data corresponding to the broad type of annotation data output is generated performing an inference function utilizing the computer vision model on medical scans. Additional annotation data further specifies the broad type of annotation data output is received. A second training step is performed to generate an updated computer vision model using set of additional annotation data. A third set of annotation data corresponding to the specified type of annotation data output is generated by performing an updated inference function utilizing the updated computer vision model on medical scans.

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