"Utilization of Machine Learning, Deep Learning, and Radiomics for the classification of sub-cm lung nodules in early cancer diagnosis"

“利用机器学习、深度学习和放射组学对早期癌症诊断中的亚厘米肺结节进行分类”

• 批准号: 428870
• 负责人: Janzen Ian K
• 金额: $ 1.27万
• 依托单位: University of British Columbia
• 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: 2019-12-01 至 2020-12-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=428870&lang=en
• 关键词: Cancer; Deep Learning; Early Detection; Lung Cts; Machine Learning; Radiomics

"Low Dose Computed Tomography (LDCT) screening programs are well known for detecting small lung nodules in at risk lung cancer patients. Predicting the future behavior of small nodules has proven challenging even for expert clinicians. As such, nodules in

“低剂量计算机断层扫描 (LDCT) 筛查项目因检测高危肺癌患者的肺部小结节而闻名。即使对于专业临床医生来说，预测小结节的未来行为也具有挑战性。因此，结节