Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier
Joint Authors
Hu, Xin
Cheng, Yuanzhi
Ding, Deqiong
Chu, Dianhui
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
One major limiting factor that prevents the accurate delineation of vessel boundaries has been the presence of blurred boundaries and vessel-like structures.
Overcoming this limitation is exactly what we are concerned about in this paper.
We describe a very different segmentation method based on a cascade-AdaBoost-SVM classifier.
This classifier works with a vessel axis + cross-section model, which constrains the classifier around the vessel.
This has the potential to be both physiologically accurate and computationally effective.
To further increase the segmentation accuracy, we organize the AdaBoost classifiers and the Support Vector Machine (SVM) classifiers in a cascade way.
And we substitute the AdaBoost classifier with the SVM classifier under special circumstances to overcome the overfitting issue of the AdaBoost classifier.
The performance of our method is evaluated on synthetic complex-structured datasets, where we obtain high overlap ratios, around 91%.
We also validate the proposed method on one challenging case, segmentation of carotid arteries over real clinical datasets.
The performance of our method is promising, since our method yields better results than two state-of-the-art methods on both synthetic datasets and real clinical datasets.
American Psychological Association (APA)
Hu, Xin& Cheng, Yuanzhi& Ding, Deqiong& Chu, Dianhui. 2018. Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier. BioMed Research International،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1125988
Modern Language Association (MLA)
Hu, Xin…[et al.]. Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier. BioMed Research International No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1125988
American Medical Association (AMA)
Hu, Xin& Cheng, Yuanzhi& Ding, Deqiong& Chu, Dianhui. Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1125988
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125988