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Analytical Cellular Pathology
Volume 2014 (2014), Article ID 505968, 2 pages
http://dx.doi.org/10.1155/2014/505968
Meeting Abstract

Whole Slide Image Analysis System for Quantification of Liver Fibrosis

1Department of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
2Global Scientific Information and Computing Center, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
3Medical Solutions Division, NEC Corporation, 7-1, Shiba 5-chome, Minato-ku, Tokyo 108-001, Japan
4Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, Musashino, Tokyo 180-8610, Japan

Received 2 September 2014; Accepted 2 September 2014

Copyright © 2014 Tokiya Abe et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Murakami, T. Abe, A. Hashiguchi et al., “Color correction for automatic fibrosis quantification in liver biopsy specimens,” Journal of Pathology Informatics, vol. 4, p. 36, 2013. View at Publisher · View at Google Scholar
  2. Y. Yasui, T. Abe, H. Takada et al., “Elastic fiber accumulation as a significant factor in predicting the development of hepatocellular carcinoma,” in Proceedings of the International Liver Congress 49th Annual Meeting of the European Association for the Study of the Liver (EASL '14), London, UK, April 2014.