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Hidetaka Uryu
University of Texas at Houston - Department of Leukemia
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Automated Urinary Sediment Detection for Fabry Disease Using Deep-Learning Algorithms
Number of pages: 23
Posted: 14 Jun 2022
Hidetaka Uryu,
Ohsuke MIGITA
,
Minami Ozawa
,
Chieko Kamijo
,
Saki Aoto
,
Kohji Okamura
,
Fuyuki Hasegawa
,
Torayuki Okuyama
,
Motomichi Kosuga
and
Kenichiro Hata
University of Texas at Houston - Department of Leukemia, University of Tsukuba - Department of Child Health, St. Marianna University School of Medicine, St. Marianna University, National Center for Child Health and Development, National Center for Child Health and Development, National Center for Child Health and Development, National Center for Child Health and Development, National Center for Child Health and Development and National Center for Child Health and Development - Department of Maternal-Fetal Biology
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Abstract:
Fabry disease, artificial intelligence, deep learning, image augmentation, mulberry cells
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