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Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features

Filipe Montes de Jesus, Yunchao Yin, E. Mantzorou-Kyriaki, Xaver U. Kahle, Robbert J. de Haas, Derya Yakar, Andor W.J.M. Glaudemans, Walter Noordzij, Thomas C. Kwee, Marcel Nijland

2021European Journal of Nuclear Medicine and Molecular Imaging40 citationsDOIOpen Access PDF

Topics & Concepts

Logistic regressionMedicineGradient boostingFollicular lymphomaLymphomaArtificial intelligenceBoosting (machine learning)Positron emission tomographyNuclear medicinePET-CTDiffuse large B-cell lymphomaRadiomicsRadiologyMachine learningComputer sciencePathologyRandom forestInternal medicineRadiomics and Machine Learning in Medical ImagingLymphoma Diagnosis and TreatmentSarcoma Diagnosis and Treatment
Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features | Litcius