Paper Abstract and Keywords |
Presentation |
2015-03-02 13:40
A method to extract fibrosis area from HE-stained liver specimens using the superpixel Masahiro Ishikawa (Saitama Med Univ.), Ryota Kudo, Hiroshi Kanazawa, Masahiro Yamaguchi (Tokyo Tech), Hideki Komagata, Naoki Kobayashi (Saitama Med Univ.), Yoshiko Yamashita, Tomoharu Kiyuna (NEC), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ) MI2014-75 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the diagnosis of hepatocellular carcinoma(HCC) by HE-stained liver pathological specimens, the structure of hepatic cell cord is used in addition to information of nucleus. Especially, a cord-like structure of hepatic cells, called trabecura, has important information in the diagnosis of HCC. Therefore, trabeculae is thought to be extractable by extracting sinusoids and fiber area. Also, fiber areas are useful diagnosis for chronic hepatic diseases.
We have been proposing a method of area segmentation based on Superpixel by extracting fiber probability based on the texture information. In this paper, for enhanced accuracy and robustness, we have developed a method of extracting fiber areas by calculating the feature of each superpixel. We report, as we also studied effective superpixel sizes for extraction of fiber area. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hepatic histopathological tissue images / Extract of fiber area / Superpixel / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 482, MI2014-75, pp. 105-108, March 2015. |
Paper # |
MI2014-75 |
Date of Issue |
2015-02-23 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2014-75 |
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