Automated detection of multi-class urinary sediment particles: An accurate deep learning approach

Author:

Lyu HeORCID,Xu FanxinORCID,Jin TaoORCID,Zheng Siyi,Zhou ChenchenORCID,Cao YangORCID,Luo Bin,Huang Qinzhen,Xiang Wei,Li Dong

Funder

National Natural Science Foundation of China

Education Department of Sichuan Province

National Ethnic Affairs Commission of the People's Republic of China

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference48 articles.

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2. Urinary tract infections: Epidemiology, mechanisms of infection and treatment options;Flores-Mireles;Nat Rev Microbiol,2015

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4. Acute kidney injury: clinical value of urine microscopy in acute kidney injury;Bagshaw;Nat Rev Nephrol,2009

5. Acute kidney injury 2016: diagnosis and diagnostic workup;Ostermann;Crit Care,2016

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