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Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients

Masatoyo Nakajo, Megumi Jinguji, Atsushi Tani, Erina Yano, Chin Khang Hoo, Daisuke Hirahara, Shinichi Togami, Hiroaki Kobayashi, Takashi Yoshiura

2021Abdominal Radiology30 citationsDOI

Topics & Concepts

MedicineCervical cancerLogistic regressionReceiver operating characteristicNaive Bayes classifierStage (stratigraphy)Artificial intelligencePositron emission tomographyRandom forestMachine learningProgression-free survivalInternal medicineProportional hazards modelOncologyCancerRadiologySupport vector machineComputer scienceOverall survivalBiologyPaleontologyRadiomics and Machine Learning in Medical ImagingEndometrial and Cervical Cancer TreatmentsMRI in cancer diagnosis
Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients | Litcius