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Computer-Aided Differentiation for Pathology Images

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Abstract

The evolution of whole slide imaging (WSI) technology promotes the pathology environment based on digital imaging, called “digital pathology,” and enables monitor-based diagnosis instead of conventional diagnosis based on microscopic observation, as well as the application of computer image analysis to pathology practice. This chapter introduces the background, basic techniques, and examples of image analysis technology for digital pathology. Computer-aided diagnosis with quantifying morphological and molecular features will be a significant tool for diagnostic pathology such as cancer detection, grade differentiation, and the decision of therapeutic plan. Some systems for automated processing of WSI data are also presented including the systems that have been employed in practice. The color correction, which is one of the most important issues in the pathological image analysis, is also addressed.

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Acknowledgments

The author sincerely expresses his acknowledgment to the collaborators of the work introduced in this chapter: Prof. Michiie Sakamoto, Dr. Akinori Hashiguchi, and Dr. Tokiya Abe in Keio University, Dr. Akira Saito in Tokyo Medical University; Dr. Ken-ichi Kamijo, Dr. Tomoharu Kiyuna, and Ms. Yoshiko Yamashita in NEC Corporation; Prof. Naoki Kobayashi and Dr. Masahiro Ishikawa in Saitama Medical University; Prof. Hiroshi Nagahashi, Dr. Fumikazu Kimura, and Dr. Yuri Murakami in Tokyo Institute of Technology; and Dr. Yukako Yagi in Massachusetts General Hospital. Some of the works introduced in this chapter is supported by New Energy and Industrial Technology Development Organization (NEDO), Japan.

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Authors and Affiliations

  1. School of Engineering, Tokyo Institute of Technology, 4259-G2-28, Nagatsuta, Midori-ku, Yokohama, 226-8503, Japan

    Masahiro Yamaguchi

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  1. Masahiro Yamaguchi
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Correspondence to Masahiro Yamaguchi .

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  1. Department of Health Sciences, Kyushu University, Fukuoka, Japan

    Hidetaka Arimura

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Yamaguchi, M. (2017). Computer-Aided Differentiation for Pathology Images. In: Arimura, H. (eds) Image-Based Computer-Assisted Radiation Therapy. Springer, Singapore. https://doi.org/10.1007/978-981-10-2945-5_4

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  • DOI: https://doi.org/10.1007/978-981-10-2945-5_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2943-1

  • Online ISBN: 978-981-10-2945-5

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