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of 84
pro vyhledávání: '"TUNCER, Seda Arslan"'
Urine sediment examination (USE) is one of the main tests used in the evaluation of diseases such as kidney, urinary, metabolic, and diabetes and to determine the density and number of various cells in the urine. USE's manual microscopy is a labor-in
Externí odkaz:
http://arxiv.org/abs/2302.09312
Publikováno v:
Applied Computer Systems, Vol 29, Iss 1, Pp 35-44 (2024)
Urine sediment examination (USE) is an essential aspect in detecting urinary system diseases, and it is a prerequisite for diagnostic procedures. Urine images are complex, containing numerous particles, which makes a detailed analysis and interpretat
Externí odkaz:
https://doaj.org/article/69560405c4494d7295a435087c9f81e4
Publikováno v:
Applied Computer Systems, Vol 29, Iss 1, Pp 45-52 (2024)
Multiple Sclerosis (MS) is a central nervous system disease that causes ataxia and balance disorders. In ataxia, the first symptom is usually seen as gait disturbance. In gait ataxia, symptoms can be clinically defined by shortened stride length and
Externí odkaz:
https://doaj.org/article/42c80723a0ab45d98d8778eba806f66a
Autor:
Tuncer, Seda Arslan1 (AUTHOR) satuncer@firat.edu.tr, Yildirim, Muhammed2 (AUTHOR) muhammed.yildirim@ozal.edu.tr, Tuncer, Taner3 (AUTHOR) ttuncer@firat.edu.tr, Mülayim, Mehmet Kamil4 (AUTHOR) mkmulayim@ksu.edu.tr
Publikováno v:
Diagnostics (2075-4418). Sep2024, Vol. 14 Issue 17, p1843. 12p.
Autor:
Tuncer, Seda Arslan1 (AUTHOR) satuncerl@firat.edu.tr, Danacı, Cagla1,2 (AUTHOR) cdanaci@firat.edu.tr, Bilek, Furkan3 (AUTHOR) furkanbilek@mu.edu.tr, Demir, Caner Feyzi4 (AUTHOR) cfdemir@firat.edu.tr, Tuncer, Taner5 (AUTHOR) ttuncer@firat.edu.tr
Publikováno v:
Diagnostics (2075-4418). Jun2024, Vol. 14 Issue 12, p1249. 14p.
Performance Comparison of Standard Polysomnographic Parameters Used in the Diagnosis of Sleep Apnea.
Autor:
TUNCER, Seda Arslan1 satuncer@firat.edu.tr, ÇİÇEK, Yakup1, TUNCER, Taner2 ttuncer@firat.edu.tr
Publikováno v:
Turkish Journal of Science & Technology. 2024, Vol. 19 Issue 1, p257-263. 7p.
Autor:
Danacı Çağla, Tuncer Seda Arslan
Publikováno v:
Applied Computer Systems, Vol 27, Iss 1, Pp 13-18 (2022)
The aim of the study is to diagnose Covid-19 by machine learning algorithms using biochemical parameters. In addition to the aim of the study, October selection was performed using 14 different feature selection methods based on the biochemical param
Externí odkaz:
https://doaj.org/article/904f1cd669b34e60a2283d72dcdff126
Publikováno v:
In Computer Methods and Programs in Biomedicine February 2022 214
Publikováno v:
Applied Computer Systems, Vol 26, Iss 2, Pp 183-193 (2021)
It is important to know how much the lungs are affected in the course of the disease in patients with COVID-19. Detecting infected tissues on CT lung images not only helps diagnose the disease but also helps measure the severity of the disease. In th
Externí odkaz:
https://doaj.org/article/a3328f25d7c14350ba3b819f6d7030b7
Publikováno v:
In Computers in Biology and Medicine August 2021 135