Iterative data-driven coronary vessel labeling

Tsai-Pei Wang*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

This paper describes an iterative data-driven algorithm for automatically labeling coronary vessel segments in MDCT images. Such techniques are useful for effective presentation and communication of findings on coronary vessel pathology by physicians and computer-assisted diagnosis systems. The experiments are done on the 18 sets of coronary vessel data in the Rotterdam Coronary Artery Algorithm Evaluation Framework that contain segment labeling by medical experts. The performance of our algorithm show both good accuracy and efficiency compared to previous works on this task.

原文English
主出版物標題2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings
編輯Naonori Ueda, Jen-Tzung Chien, Tomoko Matsui, Jan Larsen, Shinji Watanabe
發行者IEEE Computer Society
頁面1-6
頁數6
ISBN(電子)9781509063413
DOIs
出版狀態Published - 5 12月 2017
事件2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Tokyo, Japan
持續時間: 25 9月 201728 9月 2017

出版系列

名字IEEE International Workshop on Machine Learning for Signal Processing, MLSP
2017-September
ISSN(列印)2161-0363
ISSN(電子)2161-0371

Conference

Conference2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017
國家/地區Japan
城市Tokyo
期間25/09/1728/09/17

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