Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction-Reference-Cited by-同舟云学术

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Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction

Published:2023-05-02 Issue:4 Volume:36 Page:1675-1686
ISSN:1618-727X
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Erten Mehmet,Tuncer Ilknur,Barua Prabal D.,Yildirim Kubra,Dogan Sengul,Tuncer Turker,Tan Ru-San,Fujita Hamido,Acharya U. Rajendra

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-023-00827-8.pdf

Reference52 articles.

1. M. Oyaert, J. Delanghe, Progress in automated urinalysis, Annals of laboratory medicine, 39 (2019) 15-22.

2. C. Cavanaugh, M.A. Perazella, Urine sediment examination in the diagnosis and management of kidney disease: core curriculum 2019, American Journal of Kidney Diseases, 73 (2019) 258-272.

3. M.A. Perazella, The urine sediment as a biomarker of kidney disease, American journal of kidney diseases, 66 (2015) 748-755.

4. S. De Bruyne, M.M. Speeckaert, W. Van Biesen, J.R. Delanghe, Recent evolutions of machine learning applications in clinical laboratory medicine, Critical Reviews in Clinical Laboratory Sciences, 58 (2021) 131-152.

5. M. D'Alessandro, L. Poli, Q. Lai, A. Gaeta, C. Nazzari, M. Garofalo, F. Nudo, F. Della Pietra, A. Bachetoni, V. Sargentini, Automated Intelligent Microscopy for the Recognition of Decoy Cells in Urine Samples of Kidney Transplant Patients, Transplantation Proceedings, Elsevier, 2019, pp. 157–159.

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