Ai-based method and system for detection of abnormal cells in urine
OwnerMichael G. Meyer, Alan Nelsoninventors
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Abstract
The present disclosure provides an artificial intelligence (AI)-based urine cell detection method including generating, for a plurality of objects in a urine sample and by the optical tomography system, a 3D image of an object from the urine sample, and evaluating the 3D image using 3D AI-based classification to determine if the object is an abnormal cell or an object other than an abnormal cell. The disclosure further provides optical coherence tomography (OCT) systems able to perform this and other methods of abnormal cell classifications from a urine sample.
Claims22
An artificial intelligence (AI)-based urine cell detection method comprising:
- generating, for a plurality of objects in a urine sample and by an optical tomography system, a 3D image of an object from the urine sample;
- and
- evaluating the 3D image using 3D AI-based classification to determine if the object is an abnormal cell or an object other than an abnormal cell.
An object classification system comprising an optical tomography system operable to:
- generate a 3D image of an object in a urine sample;
- and
- evaluate the 3D image using 3D AI-based classification to determine if the object is an abnormal cell or an object other than an abnormal cell.
Dependencies are inferred from the claim text.