Title: ITERATIVE DATA-DRIVEN CORONARY VESSEL LABELING
Authors: Wang, Tsaipei
資訊工程學系
Department of Computer Science
Keywords: MDCT;coronary artery imaging;vessel labeling;vessel tree matching;computer-assisted diagnosis
Issue Date: 1-Jan-2017
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.
URI: http://hdl.handle.net/11536/146959
ISSN: 2161-0363
Journal: 2017 IEEE 27TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING
Appears in Collections:Conferences Paper