@inproceedings{c65cfec28f944897988b02fae18d5c95,
title = "Iterative data-driven coronary vessel labeling",
abstract = "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.",
keywords = "Computer-assisted diagnosis, Coronary artery imaging, MDCT, Vessel labeling, Vessel tree matching",
author = "Tsai-Pei Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 ; Conference date: 25-09-2017 Through 28-09-2017",
year = "2017",
month = dec,
day = "5",
doi = "10.1109/MLSP.2017.8168190",
language = "English",
series = "IEEE International Workshop on Machine Learning for Signal Processing, MLSP",
publisher = "IEEE Computer Society",
pages = "1--6",
editor = "Naonori Ueda and Jen-Tzung Chien and Tomoko Matsui and Jan Larsen and Shinji Watanabe",
booktitle = "2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings",
address = "美國",
}