Ultrasonic-Based Radiomics Signature With Machine Learning for Differentiating Prognostic Subsets of Pediatric Peripheral Neuroblastic Tumors: A Retrospective Study.

Abstract

Authors

• Hui Zhu
• Jiazong Ye
  Department of Medical Imaging & Nuclear Medicine, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Ultrasound, Dongtou District People's Hospital, Wenzhou, Zhejiang, China.
• Hongxia Luo
  Department of Ultrasonic Diagnosis, Shenzhen Maternity and Child Healthcare Hospital, Cheeloo College of Medicine, Shandong University, Shenzhen, Guangdong, 518000, China.
• Shuangshuang Ni
  Department of Ultrasound, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Key Laboratory of Structural & Functional Imaging, Wenzhou, Zhejiang, China.
• Yin Pan
  Department of Ultrasound, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Key Laboratory of Structural & Functional Imaging, Wenzhou, Zhejiang, China.
• Zhilin Zhao
  Department of Ultrasound, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Key Laboratory of Structural & Functional Imaging, Wenzhou, Zhejiang, China.
• Yan Yang
  Department of Endocrinology and Metabolism, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Keywords

External Resources