Paper Abstract and Keywords |
Presentation |
2012-01-20 11:25
An Orientation Selective Filter Based Approach to Extract Sinusoids from HE-Stained Liver Specimens Masahiro Ishikawa, Sercan Taha Ahi, Fumikazu Kimura, Masahiro Yamaguchi, Hiroshi Nagahashi (Tokyo Tech), Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2011-138 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To analyze the structure of hepatic cords in HE-stained liver specimens, the extraction of sinusoids seems to be correctly valuable. Although liver sinusoids are generally composed of continuous blocks, sometimes the boundaries become indistinct in HE-stained images due to endothelial cell formations or the presence of blood cells. In this paper, we propose an approach for the extraction of liver sinusoids from HE stained images. The proposed approach involves (1) a new orientation selective filter for edge enhancement with denoising, (2) pixel-value clustering for determining candidate sinusoids, and (3) learning-based classification for selecting final sinusoid areas. Experimental results show that the proposed approach can segment liver sinusoids with 80% of specificity and 90% of sensitivity in area ratio. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hepatic histopathological tissue images / Extract of sinusoid / Orientation Selective Filter / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 389, MI2011-138, pp. 337-342, Jan. 2012. |
Paper # |
MI2011-138 |
Date of Issue |
2012-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2011-138 |
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