FetAS: Fetal Assessment Suite to Facilitate Rapid Fetal MRI Diagnosis using Artificial Intelligence

FetAS：胎儿评估套件，利用人工智能促进胎儿 MRI 快速诊断

• 批准号: 478151
• 负责人: Sussman Dafna
• 金额: $ 66.04万
• 依托单位: Toronto Metropolitan University
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2023
• 资助国家: 加拿大
• 起止时间: 2023-03-01 至 2028-03-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=478151&lang=en
• 关键词: Automatic Image Processing; Clinical Validation; Diagnostic Imaging; Fetal Mri; Image Classification; Image Segmentation; Machine Learning; Radiology; Time Efficiency

Magnetic resonance imaging (MRI) has been increasingly used for fetal diagnosis in the last years and has become a very important tool for diagnostic and therapeutic decision making in fetal medicine. Interpretations of these examinations require radiolog

近年来，磁共振成像（MRI）越来越多地用于胎儿诊断，并已成为胎儿医学诊断和治疗决策的非常重要的工具。这些检查的解释需要放射记录