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
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