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Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study

Jing Yan, Shenghai Zhang, Qiuchang Sun, Weiwei Wang, Wenchao Duan, Li Wang, Tianqing Ding, Dongling Pei, Chen Sun, Wenqing Wang, Zhen Liu, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Zhicheng Li, Zhenyu Zhang

2021Laboratory Investigation35 citationsDOI

Topics & Concepts

Receiver operating characteristicMagnetic resonance imagingDeep learningMedicineArtificial intelligenceGliomaRecallMachine learningRadiologyInternal medicineComputer sciencePsychologyCognitive psychologyCancer researchGlioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingAdvanced Electron Microscopy Techniques and Applications
Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study | Litcius