Abstract
A computer system has been developed for evaluating the morphometrical feature extraction. The features are derived directly from a digital scan of breast fine needle biopsy slides. First the background elimination by thresholding hue component is applied, then the actual segmentation is done with region growing technique. The quality of feature space is measured with classifier based on nonparametric density estimation. The automatic system of malignancy classification was applied on a set of medical images with promising results. The comparison of human accuracy in the cytological diagnosis of breast cancer with the accuracy of digital image analysis combined with computer-based classification is presented.
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© 2005 Springer-Verlag Berlin Heidelberg
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Marciniak, A., Obuchowicz, A., Monczak, R., Kołodziński, M. (2005). Cytomorphometry of Fine Needle Biopsy Material from the Breast Cancer. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_71
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DOI: https://doi.org/10.1007/3-540-32390-2_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
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