A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images-Reference-Cited by-同舟云学术

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images

Published:2021-09 Issue: Volume:70 Page:103020
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Santos Justino Duarte^ORCID,Veras Rodrigo de M.S.^ORCID,Silva Romuere R.V.^ORCID,Aldeman Nayze L.S.,Araújo Flávio H.D.^ORCID,Duarte Angelo A.^ORCID,Tavares João Manuel R.S.^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference31 articles.

1. Comparative analysis of primary and secondary glomerulopathies in the northeast of Brazil: data from the Pernambuco Registry of Glomerulopathie-REPEG;Costa;Braz. J. Nephrol.,2017

2. Chronic Kidney Disease in the United States, 2019;Centers for Disease Control and Prevention,2019

3. Minimal change disease and focal segmental glomerulosclerosis in adults: response to steroids and risk of renal failure;Moura;Braz. J. Nephrol.,2015

4. A systematic survey of computer-aided diagnosis in medicine: Past and present developments;Yanas;Expert Syst. Appl.,2019

5. Automatic glomerulus extraction in whole slide images towards computer aided diagnosis;Zhao,2016

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