2.5 dimensional multimodal MRI improves convolutional neural networks performance in predicting the IDH mutation status of adult diffuse gliomas.

Abstract

Authors

• Jun Qiu
  The School of Pediatrics, Hengyang Medical School, University of South China, Hunan Children's Hospital, Hengyang, Hunan, China.
• Junjie Li
  Department of Emergency, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an, China.
• Zhizheng Zhuo
  Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
• Yunyun Duan
  Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
• Minghao Wu
  Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
• Min Guo
  Key Laboratory of Biology and Sustainable Management of Plant Diseases and Pests of Anhui Higher Education Institutes, Hefei, People's Republic of China.
• Jun Sun
  School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China.
• Ying Jin
  Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, PR China.
• Jinyuan Weng
  Department of Medical Imaging Product, Neusoft, Group Ltd., Shenyang, People's Republic of China.
• Xiaodong Gong
  The State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, #7 Jinsui Road, Guangzhou, Guangdong 510230, China.
• Xing Liu
  School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China [email protected] [email protected] [email protected] [email protected] [email protected] [email protected].
• Yaou Liu
  Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, PR China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, PR China.

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