课题基金 / 基金详情

Development of a computer-aided algorithm using artificial intelligence for the segmentation of ultrasonographic features of lymph nodes during endobronchial ultrasound.

Development of a computer-aided algorithm using artificial intelligence for the segmentation of ultrasonographic features of lymph nodes during endobronchial ultrasound.
使用人工智能开发计算机辅助算法，用于支气管内超声期间淋巴结的超声特征分割。
批准号：
411232
负责人：
Churchill Isabella F
金额：
$1.27万
依托单位：
McMaster University
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2018
资助国家：
加拿大
项目状态：
已结题
起止时间：
2018-12-01 至 2019-12-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=411232&lang=en
关键词：
Artificial Intelligence Endobronchial Ultrasound Lung Cancer Lymph Nodes Machine Learning Ultrasonographic Features

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
肺癌是最常见的癌症，也是世界范围内癌症死亡的主要原因，因此需要准确的淋巴结(LN)分期来确定治疗方案。一种名为加拿大淋巴结节评分的四分二进制评分标准具有p
英文摘要
Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer death worldwide, warranting the need for accurate lymph node (LN) staging to determine treatment plans. A four-point, binary scale known as the Canada Lymph Node Score has p
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金