DSpace Ana Sayfası
→
Yazara göre listeleme

Yazar "Üreten, Kemal" için listeleme

Toplam kayıt 10, listelenen: 1-10

Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods

Üreten, Kemal; Maraş, Hadi Hakan (2022-04)

Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function limitation, and permanent joint damage in the hands. Plain hand radiographs are the most commonly used imaging methods for ...
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 ...
Detection of hand osteoarthritis from hand radiographs using convolutional neural networks with transfer learning

Üreten, Kemal; Erbay, Hasan; Maraş, Hadi Hakan (2020)

Osteoarthritis is the most common type of arthritis. Hand osteoarthritis leads to specific structural changes in the joints, such as asymmetric joint space narrowing and osteophytes (bone spurs). Conventional radiography ...
Detection of hip osteoarthritis by using plain pelvic radiographs with deep learning methods

Üreten, Kemal; Arslan, Tayfun; Gültekin, Korcan Emre; Demir Demirgöz, Ayşe Nur; Özer, Hafsa Feyza; Bilgili, Yasemin (2020-09-01)

Objective: The incidence of osteoarthritis is gradually increasing in public due to aging and increase in obesity. Various imaging methods are used in the diagnosis of hip osteoarthritis, and plain pelvic radiography is ...
Determining rheumatoid arthritis and osteoarthritis diseases with plain hand x-rays using convolutional neural network

Üreten, Kemal (2019)

Recent advances in computer technology have facilitated the acquisition of high-resolution images and processing of images. Convolutional neural network (CNN) is a branch of deep learning. CNN was first introduced in 1995 ...
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 Developmental Dysplasia of the Hip From Hip Ultrasonography Images With Deep Learning Methods

Atalar, Hakan; Üreten, Kemal; Tokdemir, Gül; Tolunay, Tolga; Çiçeklidağ, Murat; Atik, Osman Şahap (2023-02-01)

Background: Hip ultrasonography is very important in the early diagnosis of developmental dysplasia of the hip. The application of deep learning-based medical image analysis to computer-aided diagnosis has the potential ...
The Diagnosis of Developmental Dysplasia of the Hip From Hip Ultrasonography Images With Deep Learning Methods

Atalar, Hakan; Üreten, Kemal; Tokdemir, Gül; Tolunay, Tolga; Çiçeklidağ, Murat; Atik, Osman Şahap (2023-02-01)

Background: Hip ultrasonography is very important in the early diagnosis of developmental dysplasia of the hip. The application of deep learning-based medical image analysis to computer-aided diagnosis has the potential ...
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 ...

Toplam kayıt 10, listelenen: 1-10

DSpace'de Ara

Gelişmiş Arama

Göz at

Tüm DSpace

Yazar "Üreten, Kemal" için listeleme

Yazar "Üreten, Kemal" için listeleme

DSpace'de Ara

Göz at

Tüm DSpace

Hesabım