Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors

• Published in: Computational Mathematics Modeling in Cancer Analysis Vol. 13574; pp. 58 - 67
• Main Authors: Jiao, Menglei, Liu, Hong, Yang, Zekang, Tian, Shuai, Ouyang, Hanqiang, Li, Yuan, Yuan, Yuan, Liu, Jianfang, Wang, Chunjie, Lang, Ning, Jiang, Liang, Yuan, Huishu, Qian, Yueliang, Wang, Xiangdong
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer 2022; Springer Nature Switzerland
• Series: Lecture Notes in Computer Science
• Subjects: Pre-training model; Self-supervised learning; Subtype classification

Spinal tumors contain multiple pathological subtypes, and different subtypes may correspond to different treatments and prognoses. Diagnosis of spinal tumor subtypes from medical images in the early stage is of great clinical significance. Due to the complex morphology and high heterogeneity of spin...