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4 April 2022 Counting of alveoli in synchrotron radiation 3D CT images using U-Net
Keisuke Fukuda, Kurumi Saito, Yoshiki Kawata, Keiji Umetani, Yasutaka Nakano, Hiroaki Sakai, Toshihiro Okamoto, Noboru Niki
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Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 120360H (2022) https://doi.org/10.1117/12.2612810
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
Three-dimensional (3D) microstructural analysis of the human lung is useful for accurate understanding of lung growth and disease progression. Counting of alveoli in alveolar ducts and alveolar sacs has not been sufficiently investigated. In this study, we present these results by counting of alveoli in alveolar ducts and alveolar sacs from synchrotron radiation 3D CT images using and 3D U-Net.
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Keisuke Fukuda, Kurumi Saito, Yoshiki Kawata, Keiji Umetani, Yasutaka Nakano, Hiroaki Sakai, Toshihiro Okamoto, and Noboru Niki "Counting of alveoli in synchrotron radiation 3D CT images using U-Net", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120360H (4 April 2022); https://doi.org/10.1117/12.2612810
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KEYWORDS
Lung
3D image processing
Synchrotron radiation
3D microstructuring
Computed tomography
Image processing
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