Abstract
This article presents an Artificial Neural Networks (ANN) application in the image diagnosis process, by the tissues densities obtained in Computerized Tomography (CT) exams and related to Cerebral Vascular Accidents (CVAs). Among the usually analyzed aspects are the density, the form, the size and the location of these characteristic aspects of the image. As said by specialists in this area, the most relevant attribute is the analysis of the tissues densities. Considering this fact, our paper will investigate neurological pathologies in Computerized Tomography based in the tissues densities of the tomographic images.
The images to be diagnosed are digitalized, and then pre-processed, receiving an adequate mathematical treatment to be used as ANN training patterns and tests.
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© 2001 Springer-Verlag Berlin Heidelberg
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Restum Antonio, E., Neto, L.B., Junior, V., Hideo Fukuda, F. (2001). Medical Images Analysis: An Application of Artificial Neural Networks in the Diagnosis of Human Tissues. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_42
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DOI: https://doi.org/10.1007/3-540-45723-2_42
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