Article

MRI data harmonization across sites using ComBat enhances classification of meningioma and glioma brain-tumors in dogs: a case study

2022-07-07

Abstract excerpt

<h4>Background: </h4> Magnetic resonance imaging (MRI) in clinical patients is often evaluated for diagnostic purposes. However, to develop a disease classifier, imaging data can be “noisy”, as in being heterogeneous (e.g., obtained from multiple sites), having significant crossover between normal and pathological processes, being highly imbalanced for the outcome variable (i.e., unequal numbers of cases and contr...

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Literature Corpus work: 943834d5-2147-5c98-9795-5707b8f4b101
DOI: 10.12688/f1000research.117334.1

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