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Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T2*-weighted radiomic-based extra trees models

Mengze Zhang, Hanqiang Ouyang, Jianfang Liu, Dan Jin, Chunjie Wang, Ming Ni, Xiaoguang Liu, Ning Lang, Liang Jiang, Huishu Yuan

2022European Radiology24 citationsDOI

Topics & Concepts

MedicineNeuroradiologyRadiological weaponMagnetic resonance imagingRadiomicsRadiologyFeature selectionFeature (linguistics)Nuclear medicineArtificial intelligenceComputer scienceNeurologyPhilosophyPsychiatryLinguisticsCervical and Thoracic MyelopathyRadiomics and Machine Learning in Medical ImagingMedical Imaging and Analysis
Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T2*-weighted radiomic-based extra trees models | Litcius