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A Method of Wavelength Selection of Multispectral Image for the Separation of Tumor Region

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Book cover Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

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Abstract

Endoscopy is widely used for examinations and diagnosis of cancer. However, it is difficult to accurately identify the tumor region from the endoscopic image unless experienced experts. In this paper, we propose a method of the separation of tumor region for endoscope surgery and examination by using multispectral images. By selecting the effective wavelength to identify from multispectral images, the tumor region can be separate. We confirm the proposed method by several test targets. The proposed method would help for endoscopic surgery.

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Correspondence to Kayo Yoshimoto .

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© 2016 Springer International Publishing Switzerland

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Yoshimoto, K., Takahashi, H., Yamada, K., Yoshida, S. (2016). A Method of Wavelength Selection of Multispectral Image for the Separation of Tumor Region. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

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