Prof. Naoki Kobayashi Profile

Prof. Naoki Kobayashi

at Saitama Medical Univ

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Effect of formalin fixing on chromophore saliency maps derived from multi-spectral macropathology skin images

Eleni Aloupogianni, Hiroyuki Suzuki, Takaya Ichimura, Atsushi Sasaki, Hiroto Yanagisawa, Tetsuya Tsuchida, Masahiro Ishikawa, Naoki Kobayashi, Takashi Obi

Proc. SPIE. 11603, Medical Imaging 2021: Digital Pathology

KEYWORDS: Statistical analysis, Tissues, Pathology, Skin, Chromophores, Multispectral imaging, Hemodynamics, In vivo imaging, RGB color model, Absorption

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SPIE Journal Paper | 17 October 2017

Feature analysis of cell nuclear chromatin distribution in support of cervical cytology

Hideki Komagata, Takaya Ichimura, Yasuka Matsuta, Masahiro Ishikawa, Kazuma Shinoda, Naoki Kobayashi, Atsushi Sasaki

JMI Vol. 4 Issue 04

KEYWORDS: Californium, Cell biology, Machine learning, Diagnostics, Cancer, Feature extraction, Feature selection, Matrices, Classification systems, Statistical modeling

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Proceedings Article | 1 March 2017 Paper

Extraction of glomeruli in whole slide imaging of kidney biopsy specimens

Masahiro Ishikawa, Sumire Watanabe, Natsuki Honda, Naoki Kobayashi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Proc. SPIE. 10140, Medical Imaging 2017: Digital Pathology

KEYWORDS: Target detection, Computer aided diagnosis and therapy, Tissues, Image processing, Pathology, Biopsy, Medical imaging, Digital imaging, Kidney

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Proceedings Article | 1 March 2017 Paper

Tissue classification of liver pathological tissue specimens image using spectral features

Emi Hashimoto, Masahiro Ishikawa, Kazuma Shinoda, Madoka Hasegawa, Hideki Komagata, Naoki Kobayashi, Naoki Mochidome, Yoshinao Oda, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

Proc. SPIE. 10140, Medical Imaging 2017: Digital Pathology

KEYWORDS: Hyperspectral imaging, Liver, Computer aided diagnosis and therapy, Tissues, Pathology, Image analysis, Medical imaging, Digital imaging, Image classification, RGB color model

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SPIE Journal Paper | 3 June 2016

Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens

Masahiro Ishikawa, Yuri Murakami, Sercan Taha Ahi, Masahiro Yamaguchi, Naoki Kobayashi, Tomoharu Kiyuna, Yoshiko Yamashita, Akira Saito, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

JMI Vol. 3 Issue 02

KEYWORDS: Image enhancement, Tissues, Liver, Image analysis, Image segmentation, Pathology, Feature extraction, Cancer, Expectation maximization algorithms, Digital imaging

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Proceedings Article | 27 April 2015 Paper

An accurate method of extracting fat droplets in liver images for quantitative evaluation

Masahiro Ishikawa, Naoki Kobayashi, Hideki Komagata, Kazuma Shinoda, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Proc. SPIE. 9420, Medical Imaging 2015: Digital Pathology

KEYWORDS: Microscopes, Liver, Tissues, Image processing, Pathology, Biopsy, Image filtering, Image classification, Binary data, Expectation maximization algorithms

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Proceedings Article | 29 March 2013 Paper

An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma

Hideki Komagata, Naoki Kobayashi, Ayako Katoh, Yasuka Ohnuki, Masahiro Ishikawa, Kazuma Shinoda, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Proc. SPIE. 8676, Medical Imaging 2013: Digital Pathology

KEYWORDS: Breast, Statistical analysis, Detection and tracking algorithms, Tumors, Tissues, Image processing, Diagnostics, Feature extraction, Image filtering, Information technology

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Showing 5 of 7 publications

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