Feature Extractions for the Pathological Diagnosis of Oral Malignancies

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Other Title
  • 口腔悪性腫瘍の病理診断における特徴量抽出法に関する検討
  • コウクウ アクセイ シュヨウ ノ ビョウリ シンダン ニ オケル トクチョウリョウ チュウシュツホウ ニ カンスル ケントウ

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Description

Extracting the feature of alignment in oral pathological images, in helpful for the pathological diagnosis and development of diagnosis guidelines. This paper propose two types of processing, basal cell counting by the distance transform and segmentation of the epithelium region using multiple threshold values which is calculated by a self-organizing map neural network. The counting results have shown a good agreement with these of professional histopathologists, and hence the proposed counting is sufficiently accurate. The segmentation of epithelium regions has been successfully developed with the aid of a set of multiple values for luma thresholding.

Journal

  • ITE Technical Report

    ITE Technical Report 33.31 (0), 1-4, 2009

    The Institute of Image Information and Television Engineers

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