Machine learning-based differentiation between multiple sclerosis and glioma WHO II°-IV° using O-(2-[18F] fluoroethyl)-L-tyrosine positron emission tomography.
Sied KebirLaurèl RauschenbachManuel WeberLazaros LazaridisTeresa SchmidtKathy KeyvaniNiklas SchäferAsma MiliaLale UmutluDaniela PierscianekMartin StuschkeMichael ForstingUlrich SureChristoph KleinschnitzGerald AntochPatrick M CollettiDomenico RubelloKen HerrmannUlrich HerrlingerBjörn SchefflerRalph A BundschuhMartin GlasPublished in: Journal of neuro-oncology (2021)
FET-PET imaging may help differentiate MS from glioma II°-IV° and SVM based machine learning approaches can enhance classification performance.