Yazar "Çınar, Ahmet" için listeleme
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Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning
Çankaya, Cem; Çınar, Ahmet; Tuncer, Taner (wıley, 2022)Today, corneal refraction, height, and thickness data, which are required in the diagnosis of keratoconus, can be obtained with corneal tomography devices. Pentacam four map display presenting this data is one of the most ... -
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers
Yıldırım, Muhammed; Eroğlu, Orkun; Eroğlu,Yeşim; Çınar, Ahmet; Cengil, Emine (Springer, 2022)Coronavirus disease-2019 (COVID-19) is a serious infectious disease that is spreading rapidly all over the world. Scientists are looking for alternative diagnostic methods to detect and control the disease early. Artifcial ... -
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model
Eroğlu, Yeşim; Yıldırım, Kadir; Çınar, Ahmet; Yıldırım, Muhammed (Elsevier, 2021)Background and objective Vesicoureteral reflux is the leakage of urine from the bladder into the ureter. As a result, urinary tract infections and kidney scarring can occur in children. Voiding cystourethrography is the ... -
Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
Eroğlu, Orkun; Eroğlu, Yeşim; Yıldırım, Muhammed; Karlıdağ, Turgut; Çınar, Ahmet; Akyiğit, Abdulvahap; Kaygusuz, İrfan; Yıldırım, Hanefi; Keleş, Erol; Yalçın, Şinasi (Elsevier B.V. All, 2022)Cholesteatoma is an aggressive form of chronic otitis media (COM). For this reason, it is important to distinguish between COM with and without cholesteatoma. In this study, the role of artificial intelligence modelling ...