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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kiesslich, R., Fritsch, J., Holtmann, M., Koehler, H.H., Stolte, M., Kanzler, S., Nafe, B., Jung, M., Galle, P.R., Neurath, M.F.: Methylene blue-aided chromoendoscopy for the detection of intraepithelial neoplasia and colon cancer in ulcerative colitis. Gastroenterology 124, 880–888 (2003)
de Veld, D.C.G., Skurichina, M., Witjes, M.J.H., Duin, R.P.W., Sterenborg, H.J.C.M., Roodenburg, J.L.N.: Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy. J. Biomed. Opt. 9, 940–950 (2004)
Mizuno, H., Gono, K., Takehana, S., Nonami, T., Nakamura, K.: Narrow band imaging technique. Tech. Gastrointest. Endosc. 5, 78–81 (2003)
Gono, K., Obi, T., Yamaguchi, M., Ohyama, N., Machida, H., Sano, Y., Yoshida, S., Hamamoto, Y., Endo, T.: Appearance of enhanced tissue features in narrow-band endoscopic imaging. J. Biomed. Opt. 9, 568–577 (2004)
Osawa, H., Yoshizawa, M., Yamamoto, H., Kita, H., Satoh, K., Ohnishi, H., Nakano, H., Wada, M., Arashiro, M., Tsukui, M., Ido, K., Sugano, K.: Optimal band imaging system can facilitate detection of changes in depressed-type early gastric cancer. Gastrointest. Endosc. 67, 226–234 (2008)
Sigurdsson, S., Philipsen, P.A., Hansen, L.K., Larsen, J., Gniadecka, M., Christian Wulf, H.: Detection of skin cancer by classification of Raman spectra. IEEE Trans. Biomed. Eng. 51, 1784–1793 (2004)
Paclk, P., Duin, R.P.W., Van Kempen, G.M.P., Kohlus, R.: Segmentation of multi-spectral images using the combined classifier approach. Image Vis. Comput. 21, 473–482 (2003)
Iwahori, Y., Shinohara, T., Hattori, A., Woodham, R.J., Fukui, S., Behuyan, M.K., Kasugai, K.: Automatic polyp detection in endoscope images using hessian filter. In: Interantional Conf. Mach. Vis. Appl., pp. 21–24 (2013)
Leitner, R., Biasio, M., De Arnold, T., Dinh, C.V., Loog, M., Duin, R.P.W.: Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recognit. Lett. 34, 85–93 (2013)
Jemal, A., Bray, F., Center, M.M., Ferlay, J., Ward, E., Forman, D.: Global cancer statistics. CA. Cancer J. Clin. 61, 61–69 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-23204-1_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23203-4
Online ISBN: 978-3-319-23204-1
eBook Packages: EngineeringEngineering (R0)