Radiomics strategy for glioma grading using texture features from multiparametric MRI
Qiang Tian(Zero to Three), Guangbin Cui(Air Force Medical University), Yu Han(National Clinical Research Center for Digestive Diseases), Yang Yang(Shihezi University), Lin‐Feng Yan(Air Force Medical University), Ping Chen(Air Force Medical University), Yu‐Chuan Hu(Air Force Medical University), Ying‐Zhi Sun(Air Force Medical University), Xin Zhang(Air Force Medical University), Wen Wang(Xuzhou Medical College), Jin Zhang(Air Force Medical University), Xi Zhang(Southwestern Medical Center), Zhicheng Liu(Air Force Medical University), Bo Hu(Air Force Medical University), Gang Xiao(Air Force Medical University), Qian Sun(Air Force Medical University), Shuai Tian(Air Force Medical University), Hai‐Yan Nan(Air Force Medical University), Ying Yu(Air Force Medical University), Jie Xu(Air Force Medical University)
Cited by 222
Related Papers
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
|Radiology|2020|2.9k
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
|Radiology|2020|2.8k
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
|Nature Medicine|2020|1.1k
Osteoimmunity‐Regulating Biomimetically Hierarchical Scaffold for Augmented Bone Regeneration
|Advanced Materials|2022|343
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
|Frontiers in Neuroscience|2018|317