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A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions

Akiyo Takada, Hajime Yokota, Miho Watanabe, Takuro Horikoshi, Jun Matsushima, Takashi Uno

2020Japanese Journal of Radiology26 citationsDOI

Topics & Concepts

MedicineRadiation therapyMagnetic resonance imagingReceiver operating characteristicRadiomicsCervical cancerNuclear medicineRadiologyCancerInternal medicineEndometrial and Cervical Cancer TreatmentsRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis
A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions | Litcius