Deep Learning Approach to Localization of Skeletal Landmarks in Ultrasound for Scoliosis Measurement

用于脊柱侧弯测量的超声骨骼标志定位的深度学习方法

• 批准号: 400528
• 负责人: Wu Victoria
• 金额: $ 0.36万
• 依托单位: Queen's University (Kingston, Ontario)
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2019-05-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=400528&lang=en
• 关键词: Deep Learning; Scoliosis; Ultrasound

Scoliosis, which is an excessive curvature of the spine, affects approximately 1 in 1,000 individuals in early adolescence, progressing until the spine is fully developed. Bracing is a common treatment method, which decreases the progression of curves and

脊柱侧凸是指脊柱过度弯曲，在青春期早期影响大约千分之一的人，并一直发展到脊柱完全发育。支具是一种常见的治疗方法，它可以减少曲线的进展和