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A Machine Learning Approach Using [18F]FDG PET-Based Radiomics for Prediction of Tumor Grade and Prognosis in Pancreatic Neuroendocrine Tumor

Yongjin Park, Young Suk Park, Seung Tae Kim, Seung Hyup Hyun

2023Molecular Imaging and Biology13 citationsDOI

Topics & Concepts

RadiomicsReceiver operating characteristicMedicinePositron emission tomographyNeuroendocrine tumorsRandom forestArtificial intelligenceMachine learningFeature selectionRadiologyInternal medicineComputer scienceNeuroendocrine Tumor Research AdvancesPancreatic and Hepatic Oncology ResearchRadiomics and Machine Learning in Medical Imaging
A Machine Learning Approach Using [18F]FDG PET-Based Radiomics for Prediction of Tumor Grade and Prognosis in Pancreatic Neuroendocrine Tumor | Litcius