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Nao Yasuda
Nao Yasuda
Kindai University
Mammography
Deep learning
Artificial intelligence
Mammary gland
Segmentation
4
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The effect of breast density on the missed lesion rate in screening digital mammography determined using an adjustable-density breast phantom tailored to Japanese women.
2021
PLOS ONE
Mika Yamamuro
Yoshiyuki Asai
Naomi Hashimoto
Nao Yasuda
Yoshiaki Ozaki
Kazunari Ishii
Yongbum Lee
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How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography
2021
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
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Effectiveness of high-luminance display monitors in digital mammography
2020
Mika Yamamuro
Yoshiyuki Asai
Naomi Hashimoto
Nao Yasuda
Koji Yamada
Y Ozaki
Kazunari Ishii
Yongbum Lee
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Deep learning-based segmentation of mammary gland region in digital mammograms of scattered mammary glands and fatty breasts
2020
Mika Yamamuro
Yoshiyuki Asai
Naomi Hashimoto
Nao Yasuda
Kenta Sakaguchi
Tatsuo Konishi
Koji Yamada
Y Ozaki
Kazunari Ishii
Yougbum Lee
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