Yazar "Unlu, Serkan" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Detection of Acromion Types in Shoulder Magnetic Resonance Image Examination with Developed Convolutional Neural Network and Textural-Based Content-Based Image Retrieval System
    (Mdpi, 2025) Akcicek, Mehmet; Karaduman, Muecahit; Petik, Bulent; Unlu, Serkan; Mutlu, Hursit Burak; Yildirim, Muhammed
    Background: The morphological type of the acromion may play a role in the etiopathogenesis of various pathologies, such as shoulder impingement syndrome and rotator cuff disorders. Therefore, it is important to determine the acromion's morphological types accurately and quickly. In this study, it was aimed to detect the acromion shape, which is one of the etiological causes of chronic shoulder disorders that may cause a decrease in work capacity and quality of life, on shoulder MR images by developing a new model for image retrieval in Content-Based Image Retrieval (CBIR) systems. Methods: Image retrieval was performed in CBIR systems using Convolutional Neural Network (CNN) architectures and textural-based methods as the basis. Feature maps of the images were extracted to measure image similarities in the developed CBIR system. For feature map extraction, feature extraction was performed with Histogram of Gradient (HOG), Local Binary Pattern (LBP), Darknet53, and Densenet201 architectures, and the Minimum Redundancy Maximum Relevance (mRMR) feature selection method was used for feature selection. The feature maps obtained after the dimensionality reduction process were combined. The Euclidean distance and Peak Signal-to-Noise Ratio (PSNR) were used as similarity measurement methods. Image retrieval was performed using features obtained from CNN architectures and textural-based models to compare the performance of the proposed method. Results: The highest Average Precision (AP) value was reached in the PSNR similarity measurement method with 0.76 in the proposed model. Conclusions: The proposed model is promising for accurately and rapidly determining morphological types of the acromion, thus aiding in the diagnosis and understanding of chronic shoulder disorders.
  • Küçük Resim Yok
    Öğe
    Detection of osteochondral lesion of talus in ankle magnetic resonance images with GradCAM-based hybrid CNN model
    (Springer, 2026) Akcicek, Mehmet; Bingol, Harun; Petik, Bulent; Unlu, Serkan; Yildirim, Muhammed
    BackgroundTreatment of osteochondral lesion of talus (OLT), one of the crucial pathologies that can cause pain in the ankle, is guided by the age of onset, severity, and stage of the symptoms. For these reasons, early screening and early intervention for OLT become important. Magnetic resonance imaging (MRI) is used for further evaluation. However, depending on the clinician's experience, the diagnostic accuracy of the same images varies between physicians. In this study, we tried to determine the presence or absence of OLT using an AI-based hybrid model.MethodsThis study applied Gradient-Weighted Class Activation Mapping (GradCAM), an image visualization technique, to OLT images. Features were extracted and combined from the original and GradCAM-applied images. Then, the most valuable features from this high-dimensional feature map were selected using the Neighborhood Component Analysis (NCA) dimension reduction method. In the last stage, the feature map with selected features was classified in the K-Nearest Neighbors (KNN) classifier.ResultsTo compare the performance of our proposed model, feature extraction was performed with six pre-trained models accepted in the literature. These features were classified into six different classifiers. As a result, the proposed model achieved the highest success rate of 98.60%. The proposed hybrid model for detecting talus osteochondral lesions in ankle magnetic resonance images has obtained successful results. Thanks to this computer-aided system, experts' workload will be reduced, and this system can be used in places without experts.
  • Küçük Resim Yok
    Öğe
    Is acute appendicitis complicated or uncomplicated? Approaching the question via computed tomography
    (Sage Publications Ltd, 2023) Akcicek, Mehmet; Ilgar, Mehtap; Unlu, Serkan
    Background The distinction between complicated and uncomplicated appendicitis is very important for the selection of the treatment method. Purpose To investigate the sensitivity and specificity of computed tomography (CT) in differentiating between complicated and uncomplicated appendicitis to demonstrate that false negativity in differentiating these cases can be reduced when CT findings are incorporated into the clinical evaluation of patients. Material and Methods All patients aged >= 18 years who underwent appendectomy at Malatya Training and Research Hospital in 2020 and 2021 were retrospectively screened. Of them, 283 patients were included in the study who had undergone CT before the operation. Patients with appendicitis were divided into two groups: complicated and uncomplicated, according to the results of their pathology tests. Demographic data, laboratory results, and CT images of the patients were evaluated. Results The patients with complicated appendicitis had a significantly higher mean age (P<0.001). The most common CT findings in patients with complicated appendicitis were moderate or severe peri-appendiceal fat stranding (PFS) and appendix wall enhancement defect (AWD). The findings with the highest sensitivity were PFS (77.9%) and AWD (69.4%). Although abscess, phlegmon, and peri-appendiceal air had the highest specificity (100%), these findings were the ones with the lowest sensitivity. According to the scoring system was developed for the differential diagnosis, CT had a sensitivity of 83.3% and a specificity of 79.2%. Conclusion Based on the sensitivity and specificity values measured for CT according to the findings of our study, the scoring system may be useful for the differential diagnosis of complicated appendicitis.
  • Küçük Resim Yok
    Öğe
    Is anemia a risk factor in pneumonia progression in covid-19-infected patients?
    (Wolters Kluwer Medknow Publications, 2022) Akcicek, Mehmet; Ilgar, Mehtap; Unlu, Serkan
    Background Determining the factors contributing to the development of severe coronavirus 2019 disease (COVID-19) disease is of great importance for health guidance. In this study, the authors aimed to investigate whether there is a relationship between anemia and progression of COVID-19 pneumonia. Patients and methods Records of 201 patients whose RT-PCR positivity for COVID-19 was confirmed between August 2020 and October 2020, when admissions and hospitalizations were at their peak, were retrospectively reviewed. The scoring system based on visual evaluation was used for evaluating the severity of the disease on each computed tomography (CT). To determine the progression status of pneumonia, the score difference was calculated by the difference between two CT scores. The patients were divided into two groups according to their hemoglobin levels as anemic and nonanemic patients. Results A significant difference was reported between the CT score difference groups in terms of mean age (P < 0.001). The mean age of the group that did not show progression was significantly lower than the other groups. Although the mean hemoglobin level of the group that did not show progression was higher than the other groups, no significant difference was reported between the groups (P=0.768). There was no significant difference between the CT score difference groups in terms of the presence or absence of anemia (P=0.791). Conclusion No significant relationship was found between hemoglobin levels, anemia, and pneumonia progression in COVID-19-infected patients.