User profiles for Sefa Key
Sefa KEYFirat University, Faculty of Medicine, Orthopaedics and Traumatology, Associate Professor Verified email at firat.edu.tr Cited by 166 |
A hand-modeled feature extraction-based learning network to detect grasps using sEMG signal
Recently, deep models have been very popular because they achieve excellent performance
with many classification problems. Deep networks have high computational complexities …
with many classification problems. Deep networks have high computational complexities …
The effect of the platelet-rich plasma and ozone therapy on tendon-to-bone healing in the rabbit rotator cuff repair model
Background The aim of this study is to histologically and biomechanically investigate the
effects of local PRP and ozone therapy (O 2 O 3 ) on tendon-to-bone healing in a rabbit model …
effects of local PRP and ozone therapy (O 2 O 3 ) on tendon-to-bone healing in a rabbit model …
Meniscal tear and ACL injury detection model based on AlexNet and iterative ReliefF
Magnetic resonance (MR) is one of the special imaging techniques used to diagnose
orthopedics and traumatology. In this study, a new method has been proposed to detect highly …
orthopedics and traumatology. In this study, a new method has been proposed to detect highly …
Intertrochanteric femoral fractures: a comparison of clinical and radiographic results with the proximal femoral intramedullary nail (PROFIN), the anti-rotation proximal …
Background and Objectives: The aim of this study was to evaluate retrospectively the radiological
and functional outcomes of closed reduction and internal fixation for intertrochanteric …
and functional outcomes of closed reduction and internal fixation for intertrochanteric …
[HTML][HTML] Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images
This study focuses on automatically detecting developmental hip dysplasia (DHD) using a
novel feature engineering model, FlexiLBPHOG, inspired by the FlexiViT model. The model …
novel feature engineering model, FlexiLBPHOG, inspired by the FlexiViT model. The model …
ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images
Background and purpose : Rotator cuff tear (RCT) and biceps tendinosis (BT) are the two
most common shoulder disorders worldwide. These disorders can be diagnosed using …
most common shoulder disorders worldwide. These disorders can be diagnosed using …
An exemplar pyramid feature extraction based humerus fracture classification method
Humerus fracture have been widely seen disease in the orthopedic clinics and classification
of them is a hard process for orthopedist. The main aim of the proposed method is to classify …
of them is a hard process for orthopedist. The main aim of the proposed method is to classify …
Automated knee ligament injuries classification method based on exemplar pyramid local binary pattern feature extraction and hybrid iterative feature selection
Background Knee ligament injuries have been widely seen in orthopedics and traumatology
clinics worldwide. A correct diagnosis is required for treating knee ligament injuries …
clinics worldwide. A correct diagnosis is required for treating knee ligament injuries …
An AI based classifier model for lateral pillar classification of Legg–Calve–Perthes
We intended to compare the doctors with a convolutional neural network (CNN) that we had
trained using our own unique method for the Lateral Pillar Classification (LPC) of Legg–…
trained using our own unique method for the Lateral Pillar Classification (LPC) of Legg–…
The ageless approach: Nonoperative mastery competes head‐on with surgery for elderly distal radius fractures
The aim of the current study is to compare the clinical outcomes of cast immobilization (CI)
versus surgical treatment after 1 year for distal radius fractures (DRFs) in the elderly …
versus surgical treatment after 1 year for distal radius fractures (DRFs) in the elderly …