1 |
Mitsui A, Misumi K, Murakami A, Harada K, Honmyo U, Akagi M. Endoscopic diagnosis of minute, small, and flat early gastric cancers. Endoscopy 1989;21:159-164
|
2 |
Honmyo U, Mitsui A, Murakami A, Mizumoto S, Yoshinaka I, Maeda M, et al. Mechanisms producing color change in flat early gastric cancers. Endoscopy 1997;29:366-371
DOI
ScienceOn
|
3 |
K. B. Kim, 'An Intelligent System for Recognition of Identifiers from Shipping Container Images using Fuzzy Binarization and Enhanced Hybrid Network,' Journal of Fuzzy Logic and Intelligent, Vol.14, No.3, pp. 349-356, 2004
|
4 |
Rafael Conzalez, Richard E. Woods, Digital Image Processing Second Edition, Prentice Hall
|
5 |
Tsuji S, Sato N, Kawano S, et al. Functional imaging for the analysis of the mucosal blood hemoglobin distribution using electronic endoscopy. Gastrointest Endosc 1998;34:332-336
DOI
ScienceOn
|
6 |
Ogihara T, Watanabe H, Namihisa M, Sato N. Display of mucosal blood flow function and color enhancement based on blood flow index (IHb color enhancement). Clinical Gastroenterology 1997;12 :109-117
|
7 |
K. B. Kim, H. W. Yun, 'A Study on Recognition of Brochogenic Cancer Cell Image Using a New Physiological Fuzzy Neural Networks,' Japanese Journal of Medical Electronics and Biological Engineering, Vol.13, No.5, pp.39-43, 1999
|
8 |
K. B. Kim, Y. J. Kim, Recognition of English Calling Cards by Using Enhanced Fuzzy Radial Basis Function Neural Networks, IEICE Trans. Fundamentals of Electronics, Communications and Computer Sciences, Vol.E87-A, No.6, pp.1355-1362, 2004
|
9 |
Kawano S, Sato N, Tsuji S, et al. Endoscopic blood flow analysis. Endoscopia Digestiva 1989;1:461-467
|