Dr. Akiyoshi Hizukuri Profile

Dr. Akiyoshi Hizukuri

at Ritsumeikan Univ

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Author

Publications (5)

Proceedings Article | 26 March 2023 Paper

Computerized classification method for molecular subtypes of low-grade glioma in brain MRI images using 3D-attention branch networks with additive angular margin penalty

D. Tanaka, A. Hizukuri, R. Nakayama, K. Kusuda, K. Masamune, Y. Muragaki

Proceedings Volume 12592, 125922L (2023) https://doi.org/10.1117/12.2666974

KEYWORDS: Networks, Magnetic resonance imaging, Brain, Neuroimaging, Tumors, Image classification

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Proceedings Article | 22 May 2020 Paper

Computerized classification scheme for distinguishing between benign and malignant masses by analyzing multiple MRI sequences with convolutional neural network

Yuichi Mima, Akiyoshi Hizukuri, Ryohei Nakayama

Proceedings Volume 11513, 115131Z (2020) https://doi.org/10.1117/12.2564061

KEYWORDS: Magnetic resonance imaging, Convolutional neural networks, Image classification, Tumor growth modeling, Breast, Breast cancer, Computer aided diagnosis and therapy, Databases, Diagnostics, Feature extraction

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Proceedings Article | 22 May 2020 Paper

Computerized determination scheme for histological classification of masses on breast ultrasonographic images using combination of CNN features and morphologic features

Shinya Kunieda, Akiyoshi Hizukuri, Ryohei Nakayama

Proceedings Volume 11513, 115131Y (2020) https://doi.org/10.1117/12.2564060

KEYWORDS: Breast, Image classification, Tumor growth modeling, Feature extraction, Computer aided diagnosis and therapy, Image segmentation, Databases, Principal component analysis, Biopsy, Convolutional neural networks

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Proceedings Article | 16 March 2020 Paper

Construction of virtual normal dose CT images from ultra-low dose CT images using dilated residual networks

Akiyoshi Hizukuri, Ryohei Nakayama, Yasutaka Ichikawa, Motonori Nagata, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma

Proceedings Volume 11312, 1131246 (2020) https://doi.org/10.1117/12.2551147

KEYWORDS: Computed tomography, Image quality, Convolutional neural networks, Super resolution, Image registration, Medicine, Databases, Chest, Signal to noise ratio, Model-based design

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Proceedings Article | 14 May 2017 Paper

Development of a classification method for a crack on a pavement surface images using machine learning

Akiyoshi Hizukuri, Takeshi Nagata

Proceedings Volume 10338, 103380M (2017) https://doi.org/10.1117/12.2266911

KEYWORDS: Wavelets, Linear filtering, Roads, Visualization, Quantization, Image classification, Machine learning, Discrete wavelet transforms, Databases, Inspection

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