A prospective study for the examination of peripheral blood smear samples in pediatric population using artificial intelligence
It is observed that sensitivity and specificity greater than 90% can be obtained for some specific cell types with this clinical study. It is seen that data augmentation increases the effectiveness of the learning method in terms of leukocytes by improving the measurement metrics. This could be a valuable technique to evaluate acute leukemias and hemolytic disorders.
Authors
- Mert Burkay Çöteli (ORCID: https://orcid.org/0000-0002-2491-9594)
- Nalan Yazıcı (ORCID: https://orcid.org/0000-0003-4465-8229)
- Elif Aktekin (ORCID: https://orcid.org/0000-0002-0394-6219)
- Ayşe Erbay (ORCID: https://orcid.org/0000-0001-7292-3822)
Institutions
- Başkent University (TR)
- The Medical Device (United Kingdom) (GB)
Publication Details
- Journal
- TURKISH JOURNAL OF MEDICAL SCIENCES
- Published
- 2025-04-17
- DOI
- https://doi.org/10.55730/1300-0144.5982
- Citations
- 2
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 2.55
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu