Comput Math Methods Med - Abdominal tumor characterization and recognition using superior-order cooccurrence matrices, based on ultrasound images.

Tópicos

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Resumo

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.

Resumo Limpo

noninvas diagnosi malign tumor import issu research nowaday purpos elabor computer texturebas method perform computeraid character automat diagnosi tumor use inform ultrasound imag paper consid frequent abdomin malign tumor hepatocellular carcinoma colon tumor compar structur benign tumor visual similar diseas besid textur featur prove previous research use character recognit malign tumor improv method use grey level cooccurr matrix edg orient cooccurr matrix superior order result experi new textur featur increas malign tumor classif perform also reveal visual physic properti structur emphas complex chaotic structur correspond tissu

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