Ms. Nao Yasuda Profile

Nao Yasuda

at Kindai Univ Hospital

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Author

Publications (4)

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 | 22 May 2020 Paper

Deep learning-based segmentation of mammary gland region in digital mammograms of scattered mammary glands and fatty breasts

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Kenta Sakaguchi, Tatsuo Konishi, Koji Yamada, Yoshiaki Ozaki, Kazunari Ishii, Yougbum Lee

Proceedings Volume 11513, 115131V (2020) https://doi.org/10.1117/12.2562180

KEYWORDS: Mammary gland, Breast, Image segmentation, Mammography, Tissues, Radiology, Convolutional neural networks, Medical imaging, Artificial intelligence, Spatial resolution

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Proceedings Article | 22 May 2020 Paper

Effectiveness of high-luminance display monitors in digital mammography

Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Koji Yamada, Yoshiaki Ozaki, Kazunari Ishii, Yongbum Lee

Proceedings Volume 11513, 115131T (2020) https://doi.org/10.1117/12.2555276

KEYWORDS: LCDs, Breast, Mammography, Digital mammography, Tissues, Calibration, X-rays, Visualization, Signal attenuation, X-ray imaging

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