default author photo

Kohji Okamura

National Center for Child Health and Development

Tokyo

Japan

  • National Center for Child Health and Development

SCHOLARLY PAPERS

1

DOWNLOADS

53

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
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
Downloads 53 (1,041,696)

Abstract:

Loading...

Fabry disease, artificial intelligence, deep learning, image augmentation, mulberry cells