Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis
Joint Authors
Murakami, Ryuji
Hirai, Toshinori
Yamasaki, Toshihiko
Chen, Tsuhan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Differentiating lymphomas and glioblastomas is important for proper treatment planning.
A number of works have been proposed but there are still some problems.
For example, many works depend on thresholding a single feature value, which is susceptible to noise.
In other cases, experienced observers are required to extract the feature values or to provide some interactions with the system.
Even if experts are involved, interobserver variance becomes another problem.
In addition, most of the works use only one or a few slice(s) because 3D tumor segmentation is time consuming.
In this paper, we propose a tumor classification system that analyzes the luminance distribution of the whole tumor region.
Typical cases are classified by the luminance range thresholding and the apparent diffusion coefficients (ADC) thresholding.
Nontypical cases are classified by a support vector machine (SVM).
Most of the processing elements are semiautomatic.
Therefore, even novice users can use the system easily and get the same results as experts.
The experiments were conducted using 40 MRI datasets.
The classification accuracy of the proposed method was 91.1% without the ADC thresholding and 95.4% with the ADC thresholding.
On the other hand, the baseline method, the conventional ADC thresholding, yielded only 67.5% accuracy.
American Psychological Association (APA)
Yamasaki, Toshihiko& Chen, Tsuhan& Hirai, Toshinori& Murakami, Ryuji. 2013. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485704
Modern Language Association (MLA)
Yamasaki, Toshihiko…[et al.]. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-485704
American Medical Association (AMA)
Yamasaki, Toshihiko& Chen, Tsuhan& Hirai, Toshinori& Murakami, Ryuji. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485704
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485704