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: 419355
• 负责人: Zhang Yunyan
• 金额: $ 51.83万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-03-01 至 2025-03-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=419355&lang=en
• 关键词: Brain Pathology; Clinical Outcomes; Deep Machine Learning; Disease Worsening Score; Image Texture Analysis; Magnetic Resonance Imaging; Personalized Treatment; Relapsing Remitting Multiple Sclerosis; Secondary Progressive Multiple Sclerosis; Sustained Dis

Multiple sclerosis (MS) is a common neurological disease that disables young Canadians. There are 14 approved therapies now for many who have a relapsing remitting form of MS (RRMS). Yet within 10-15 years of disease onset, >50% of RRMS patients develop s

多发性硬化症（MS）是一种禁用加拿大年轻人的常见神经系统疾病。现在，对于许多具有复发形式的MS（RRMS）的人，现在有14种批准的疗法。然而，在疾病发作的10 - 15年之内，> 50％的RRMS患者出现S