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Cancer Research

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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
 

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Article DOI: 10.3791/61235-v 07:15 min August 16th, 2020
August 16th, 2020

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Summary

This protocol was designed to train a machine learning algorithm to use a combination of imaging parameters derived from magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) in a rat model of breast cancer bone metastases to detect early metastatic disease and predict subsequent progression to macrometastases.

Tags

Keywords: Machine Learning Bone Metastases Early Detection Experimental Rat Model Imaging Parameters Multimodal Imaging Multiparametric Imaging Dynamic Contrast-enhanced MRI PET/CT Region Of Interest Standardized Uptake Value Tumor Growth Rate
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