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Yazar "Maraş, Yüksel" için Bilgisayar Mühendisliği Bölümü listeleme

Toplam kayıt 4, listelenen: 1-4

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 ...
Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods

Maraş, Yüksel; Tokdemir, Gül; Üreten, Kemal; Atalar, Ebru; Duran, Semra; Maraş, Hakan (2022)

Cervical graphs and graphs of diseases that cause mechanical neck pain by using deep convolutional neural networks (DCNN) technology. Materials and methods: In this retrospective study, the convolutional neural networks ...
The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods

Atalar, Ebru; Üreten, Kemal; Çiçeklidağ, Murat; Kaya, İbrahim; Vural, Abdurrahman; Maraş, Yüksel (2023)

Objectives: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip ...

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