A new super resolution Faster R-CNN model based detection and classification of urine sediments-Reference-Cited by-同舟云学术

A new super resolution Faster R-CNN model based detection and classification of urine sediments

Published:2023-01 Issue:1 Volume:43 Page:58-68
ISSN:0208-5216
Container-title:Biocybernetics and Biomedical Engineering
language:en
Short-container-title:Biocybernetics and Biomedical Engineering

Author:

Avci Derya,Sert Eser,Dogantekin Esin,Yildirim Ozal,Tadeusiewicz Ryszard,Plawiak Pawel

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference43 articles.

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3. The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis;İnce;Practical Lab Med,2016

4. A new method based on adaptive discrete wavelet entropy energy and neural network classifier (ADWEENN) for recognition of urine cells from microscopic images independent of rotation and scaling;Avci;J Med Syst,2014

5. False positive reduction in urinary particle recognition;Liang;Expert Syst Appl,2009

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