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Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images
Joint Authors
Nedevschi, Sergiu
Hagiu, Claudia
Ciobanu, Lidia
Lupsor, Monica
Badea, Radu
Golea, Adela
Mitrea, Delia
Socaciu, Mihai
Mitrea, Paulina
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-19
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The noninvasive diagnosis of the malignant tumors is an important issue in research nowadays.
Our purpose is to elaborate computerized, texture-based methods for performing computer-aided characterization and automatic diagnosis of these tumors, using only the information from ultrasound images.
In this paper, we considered some of the most frequent abdominal malignant tumors: the hepatocellular carcinoma and the colonic tumors.
We compared these structures with the benign tumors and with other visually similar diseases.
Besides the textural features that proved in our previous research to be useful in the characterization and recognition of the malignant tumors, we improved our method by using the grey level cooccurrence matrix and the edge orientation cooccurrence matrix of superior order.
As resulted from our experiments, the new textural features increased the malignant tumor classification performance, also revealing visual and physical properties of these structures that emphasized the complex, chaotic structure of the corresponding tissue.
American Psychological Association (APA)
Mitrea, Delia& Mitrea, Paulina& Nedevschi, Sergiu& Badea, Radu& Lupsor, Monica& Socaciu, Mihai…[et al.]. 2012. Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-464701
Modern Language Association (MLA)
Mitrea, Delia…[et al.]. Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-464701
American Medical Association (AMA)
Mitrea, Delia& Mitrea, Paulina& Nedevschi, Sergiu& Badea, Radu& Lupsor, Monica& Socaciu, Mihai…[et al.]. Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-464701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464701