Capsule Endoscope Graph Component Image Analysis Patent Grant
Summary
USPTO granted patent US12599285B2 to Given Imaging Ltd. for a capsule endoscope system that analyzes in-vivo images using connected graph components and machine learning to identify pathology indicators. The patent includes 20 claims covering image processing methods for medical diagnosis.
What changed
USPTO granted patent US12599285B2 to Given Imaging Ltd. for a system and method of analyzing in-vivo images captured by a capsule endoscope using connected graph components and machine learning models. The system identifies images containing pathology indicators and processes connected graph components to provide scores indicating whether multiple images contain the same pathology occurrence. The patent covers 20 claims.
Medical device manufacturers developing capsule endoscopy or AI-based diagnostic imaging systems should monitor this patent for potential licensing implications or competitive positioning. Research organizations and healthcare technology developers may need to consider these claims when designing similar diagnostic image analysis systems.
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Apr 14, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Analysis of in-vivo images using connected graph components
Grant US12599285B2 Kind: B2 Apr 14, 2026
Assignee
GIVEN IMAGING LTD.
Inventors
Dorit Baras, Tomer Goldstein, Gal Shenker
Abstract
A system includes at least one processor, and at least one memory storing instructions. The instructions, when executed by the processor(s), cause the system to: access a in-vivo images captured by a capsule endoscope where the in-vivo images are designated as containing a pathology indicator; form a connected graph component based on the in-vivo images where the connected graph component includes at least two images of the in-vivo images connected based on at least one indication that the at least two images contain the same occurrence of the pathology indicator; process the connected graph component with a machine learning model to provide a score indicative of whether the at least two images contain the same occurrence of the pathology indicator; and associate the score with the at least two images for presentation to a reviewer of the at least two images.
CPC Classifications
A61B 1/000096 A61B 1/041 A61B 1/31 A61B 1/000094 G06T 7/0014 G06T 2200/24 G06T 2207/10068 G06T 2207/20072 G06T 2207/20084 G06T 2207/30092 G06T 7/0016 G06T 2207/20081 G06T 2207/30032
Filing Date
2023-06-07
Application No.
18206868
Claims
20
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