Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI
Joint Authors
Chen, Hanwei
Dan, Guo
Deng, Wei
Lin, Xiaoyi
Fang, Tianqi
Liu, Dexiang
Luo, Liangping
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-07
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Objective.
We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to segment the tumor lesions of head and neck cancer (HNC).
Materials and Methods.
120 DCE-MRI samples were collected.
Five curve features and two principal components of the normalized time-intensity curve (TIC) in 80 samples were calculated as the dataset in training three SVM classifiers.
The other 40 samples were used as the testing dataset.
The area overlap measure (AOM) and the corresponding ratio (CR) and percent match (PM) were calculated to evaluate the segmentation performance.
The training and testing procedure was repeated for 10 times, and the average performance was calculated and compared with similar studies.
Results.
Our method has achieved higher accuracy compared to the previous results in literature in HNC segmentation.
The average AOM with the testing dataset was 0.76 ± 0.08, and the mean CR and PM were 79 ± 9% and 86 ± 8%, respectively.
Conclusion.
With improved segmentation performance, our proposed method is of potential in clinical practice for HNC.
American Psychological Association (APA)
Deng, Wei& Luo, Liangping& Lin, Xiaoyi& Fang, Tianqi& Liu, Dexiang& Dan, Guo…[et al.]. 2017. Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1141863
Modern Language Association (MLA)
Deng, Wei…[et al.]. Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1141863
American Medical Association (AMA)
Deng, Wei& Luo, Liangping& Lin, Xiaoyi& Fang, Tianqi& Liu, Dexiang& Dan, Guo…[et al.]. Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1141863
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141863