REINFORCEMENT LEARNING TO PERFORM LOCALIZATION, SEGMENTATION, AND CLASSIFICATION ON BIOMEDICAL IMAGES

Presented herein are systems and methods using reinforcement learning to perform localization, segmentation, and classification on biomedical images. A computing system may identify a biomedical image. The biomedical image may have a structure of interest (SOI) corresponding to a condition. The comp...

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Hauptverfasser:	STEMBER, Joseph N, SHALU, Hrithwik
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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creator	STEMBER, Joseph N SHALU, Hrithwik
description	Presented herein are systems and methods using reinforcement learning to perform localization, segmentation, and classification on biomedical images. A computing system may identify a biomedical image. The biomedical image may have a structure of interest (SOI) corresponding to a condition. The computing system may apply one or more models to perform (i) localization to determine a location of the SOI in the biomedical image; (ii) segmentation to identify a segment corresponding to the SOI on the biomedical image; and (iii) classification to determine a class identifying the condition of the biomedical image. The models may be established using reinforcement learning, such as deep Q-learning.
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subjects	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
title	REINFORCEMENT LEARNING TO PERFORM LOCALIZATION, SEGMENTATION, AND CLASSIFICATION ON BIOMEDICAL IMAGES
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