Abstract
The paper presents diagnostics of parenchyma echogenicity and organ dimensions in thyroid examinations in the case of Hashimoto’s disease using image processing methods. In the event of discovering focal changes within the thyroid, a method for their pathology evaluation was suggested. The detector proposed operates fully automatically; using the information on the image texture it detects an artery in the image, which fulfils the role of reference point, and based on it - detects the area of interest.
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Koprowski, R., Wrobel, Z., Zieleznik, W. (2010). Automatic Ultrasound Image Analysis in Hashimoto’s Disease. In: Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Kittler, J. (eds) Advances in Pattern Recognition. MCPR 2010. Lecture Notes in Computer Science, vol 6256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15992-3_11
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DOI: https://doi.org/10.1007/978-3-642-15992-3_11
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