Browsing Mühendislik Fakültesi by Author "Gök, Kevser"

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Automatic detection of spina bifida occulta with deep learning methods from plain pelvic radiographs

Duran, Semra; Üreten, Kemal; Maraş, Yüksel; Maraş, Hadi Hakan; Gök, Kevser; Atalar, Ebru; Çayhan, Velihan (2023-09)

Purpose: Spina bifida occulta (SBO), which is the most common congenital spinal deformity, is often seen in the lower lumbar spine and sacrum. In this study, it is aimed to develop a computer-aided diagnosis method that ...
Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs

Üreten, Kemal; Maraş, Yüksel; Duran, Semra; Gök, Kevser (2023-01-03)

OBJECTIVES: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs. METHODS: Convolutional neural networks, a deep learning method, were used in this ...

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