Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning

使用多流深度学习预测多发性硬化症残疾恶化评分

• 批准号: 414149
• 负责人: Zhang Yunyan
• 金额: $ 7.29万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-09-01 至 2020-09-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=414149&lang=en
• 关键词: Brain Pathology; Clinical Variables; Deep Machine Learning; Disability Worsening Score; Magnetic Resonance Imaging; Multiple Sclerosis; Personalized Treatment; Relapsing Remitting Multiple Sclerosis; Secondary Progressive Multiple Sclerosis; Texture Analy

Multiple sclerosis (MS) is a complex neurological disease that disables mostly young Canadians. While therapies are available for many who have a relapsing remitting clinical form (RRMS), >50% of them worsen to a secondary progressive form (SPMS) within 1

多发性硬化症（MS）是一种复杂的神经系统疾病，大多会破坏加拿大年轻人。虽然有许多具有复发式恢复临床形式（RRMS）的疗法，但其中50％的疗法恶化到1次次级渐进式形式（SPM）。