Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images
| Autor: | Paulina Mitrea, Adela Golea, Claudia Hagiu, Sergiu Nedevschi, Mihai Socaciu, Radu Badea, Monica Lupsor, Lidia Ciobanu, Delia Mitrea |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Pathology
medicine.medical_specialty Edge orientation Carcinoma Hepatocellular Article Subject lcsh:Computer applications to medicine. Medical informatics General Biochemistry Genetics and Molecular Biology Matrix (mathematics) Image Interpretation Computer-Assisted medicine Humans Ultrasonography Models Statistical General Immunology and Microbiology business.industry Applied Mathematics Ultrasound Pattern recognition General Medicine Kidney Neoplasms Modeling and Simulation Abdominal tumor lcsh:R858-859.7 Grey level Artificial intelligence business Colorectal Neoplasms Research Article |
| Zdroj: | Computational and Mathematical Methods in Medicine Computational and Mathematical Methods in Medicine, Vol 2012 (2012) |
| ISSN: | 1748-670X |
| DOI: | 10.1155/2012/348135 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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