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：
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
中文摘要
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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
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