Publications by authors named "N Turgay"

Article Synopsis
  • Hepatocellular carcinoma (HCC) is a major global health issue often diagnosed late, making early detection critical yet difficult.
  • This study utilizes deep learning with the You Only Look Once (YOLO) architecture to improve HCC detection in CT images, using a dataset of 1290 images from 122 patients.
  • The YOLO model achieved impressive diagnostic results, with a precision of 0.97216, recall of 0.919, and overall accuracy of 95.35%, indicating its potential to enhance early diagnosis and patient outcomes in clinical settings.
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Objective: Each year, approximately 125 million people visit malaria-endemic countries. This study aimed to investigate the clinical characteristics of imported malaria infections in Türkiye.

Methods: The study included patients diagnosed with malaria between 1996 and 2022.

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Objective: Monitoring intestinal parasite frequencies is effective on diagnosis, treatment, and prevention strategies to be developed against these parasites. In this study, it was aimed to reveal the parasite species and frequency data of stool samples in parasitology direct diagnosis laboratory.

Methods: Stool parasitological examination results were obtained retrospectively from our laboratory internal quality control data tables.

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In this study, we aimed to perform a biosafety risk assessment to determine measures to be taken against coronavirus disease 2019 (COVID-19) in the routine diagnostic parasitology laboratory of a tertiary health care center. The risk assessment template included in the supplement of the interim guidance of "WHO Laboratory Biosafety Guidance Related to COVID-19" was used for the risk assessment. Risk assessments were carried out for the "diagnosis of protozoan diseases in respiratory tract samples" and "diagnosis of intestinal parasitic diseases" processes.

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