Quality assessment in video endoscopy
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United States of America
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Mar 11, 2025
Grant Date -
Jun 30, 2022
app pub date -
Apr 3, 2020
filing date -
Apr 3, 2020
priority date (Note) -
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status (Latency Note)
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Abstract
An analysis apparatus analyses a video image signal comprising successive frames of imaging an endoscopy procedure. A machine learning block analyses the video image signal using a machine learning technique that classifies regions of the frames as belonging to one of plural classes corresponding to respective types of image artefact. The classes include a motion blur class corresponding to motion blur of the image, at least one erroneous exposure class corresponding to a type of erroneous exposure of the image, and at least one noise artefact class corresponding to a type of image artefact that is noise. A quality score block derives quality scores representing image quality of the successive frames based on the classified regions.
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