Prof. Takashi Nagaoka Profile

Prof. Takashi Nagaoka

Lecturer at Kindai Univ

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Author

Publications (4)

Proceedings Article | 2 April 2024 Poster + Paper

Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection

A. Segawa, M. Nemoto, H. Kaida, Y. Kimura, T. Nagaoka, M. Katsuhiro, Y. Takahiro, H. Kohei, T. Tatsuya, K. Kazuhiro, I. Kazunari

Proceedings Volume 12931, 1293119 (2024) https://doi.org/10.1117/12.3006643

KEYWORDS: Lung, Image processing, Computed tomography, Image analysis, Cancer detection

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Proceedings Article | 13 July 2022 Paper

Robustness of a U-net model for different image processing types in segmentation of the mammary gland region

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiroto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, Yongbum Lee

Proceedings Volume 12286, 122860T (2022) https://doi.org/10.1117/12.2624139

KEYWORDS: Image segmentation, Mammary gland, Breast, Image processing, Mammography, Image compression, Tissues, Systems modeling, Spatial resolution, Signal attenuation

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Yoshiaki Ozaki, Seiun Nin, Kazunari Ishii, Yongbum Lee

Proceedings Volume 11597, 115972V (2021) https://doi.org/10.1117/12.2581424

KEYWORDS: Image segmentation, Mammary gland, Mammography, Breast, Breast cancer

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Proceedings Article | 5 March 2007 Paper

Application of decorrelation stretching method to hyperspectral fundus image processing

T. Nagaoka, A. Nakamura, K. Aizawa, M. Kanazawa, T. Kezuka, M. Miura, M. Usui, S. Ohtsubo, T. Sota

Proceedings Volume 6426, 64261T (2007) https://doi.org/10.1117/12.701428

KEYWORDS: Image processing, Reflectivity, Hyperspectral imaging, Cameras, Blood vessels, Photography, Retina, Medical research, Tissues, Spectroscopy

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