Dr. Hayato Itoh Profile

Dr. Hayato Itoh

Research Fellow at Nagoya Univ

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Author

Publications (5)

Proceedings Article | 16 March 2020 Paper

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images

Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis

KEYWORDS: Human-machine interfaces, Visualization, Image segmentation, Diagnostics, Computed tomography, Convolution, Intestine, 3D image processing, Virtual colonoscopy

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Proceedings Article | 16 March 2020 Paper

Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis

Hayato Itoh, Zhongyang Lu, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis

KEYWORDS: Visual analytics, Data modeling, Visualization, Medical research, Feature extraction, Image filtering, Image classification, Convolution, Solid modeling, RGB color model

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Proceedings Article | 27 March 2019 Paper

Investigation of extracting interlobular septa with Hessian analysis and radial structure tensor combined with roundness error in micro-CT volume

Xiaotian Zhao, Hirohisa Oda, Shota Nakamura, Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Kensaku Mori

Proc. SPIE. 11050, International Forum on Medical Imaging in Asia 2019

KEYWORDS: Visualization, Tissues, Blood vessels, Error analysis, Nondestructive evaluation, Lung, Computed tomography, Lung cancer, Binary data, Information science

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Proceedings Article | 13 March 2019 Presentation + Paper

Polyp-size classification with RGB-D features for colonoscopy

Hayato Itoh, Holger Roth, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

Proc. SPIE. 10950, Medical Imaging 2019: Computer-Aided Diagnosis

KEYWORDS: Video, Medical research, Feature extraction, Machine learning, Image classification, Convolution, Colon, Information science

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Proceedings Article | 27 February 2018 Presentation + Paper

Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis

Hayato Itoh, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Endoscopy, Cancer, Convolutional neural networks, Feature extraction, Endoscopes, Biopsy, Colorectal cancer, Image classification, Astatine, Information science

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