Yazar "Akan, Aydin" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Ensemble Learning Approaches to Classification of Pulmonary Nodules
    (Ieee, 2016) Tartar, Ahmet; Akan, Aydin
    Lung cancer is one of the primary causes of cancer-related death worldwide. A computer-aided detection (CAD) can help radiologists by offering a second opinion and making the whole process faster at an early level. In this study, we propose a new classification approach for pulmonary nodule detection from CT imagery by using morphological features of nodule patterns. Ensemble learning approaches are used for classification process and overall detection performance is evaluated. Results are compared to similar techniques in the literature by using standard measures. The performance of the proposed system with random forest based on ensemble learning approaches results in an overall accuracy of 98.7 % with a sensitivity of 100 % and specificity of 97.3 % in training data set and an overall accuracy of 80.7 % with a sensitivity of 80.7 % and specificity of 80.6 % in testing dataset.
  • Küçük Resim Yok
    Öğe
    Intrinsic Synchronization Analysis of Brain Activity in Obsessive-compulsive Disorders
    (World Scientific Publ Co Pte Ltd, 2020) Ozel, Pinar; Karaca, Ali; Olamat, Ali; Akan, Aydin; Ozcoban, Mehmet Akif; Tan, Oguz
    Obsessive-compulsive disorder (OCD) is one of the neuropsychiatric disorders qualified by intrusive and iterative annoying thoughts and mental attitudes that are activated by these thoughts. In recent studies, advanced signal processing techniques have been favored to diagnose OCD. This research suggests four different measurements; intrinsic phase-locked value, intrinsic coherence, intrinsic synchronization likelihood, and intrinsic visibility graph similarity that quantifies the synchronization level and complexity in electroencephalography (EEG) signals. This intrinsic synchronization is achieved by utilizing Multivariate Empirical Mode Decomposition (MEMD), a data-driven method that resolves nonlinear and nonstationary data into their intrinsic mode functions. Our intrinsic technique in this study demonstrates that MEMD-based synchronization analysis gives us much more detailed knowledge rather than utilizing the synchronization method alone. Furthermore, the nonlinear synchronization method presents more consistent results considering OCD heterogeneity. Statistical evaluation using sample t-test and U-test has shown the significance of such new methodology.
  • Küçük Resim Yok
    Öğe
    A new quality control method on X-ray radiography units for biomedical technical service applications
    (Ieee, 2015) Tartar, Ahmet; Akan, Aydin
    In the study, a new technical method/protocol is first proposed in the literature for the biomedical technical services. In this context, energy quality control test and focus adjustment test are made for X-ray radiography systems. The method will provide a unique contribution to the application field of the technical services of biomedical and clinical engineering on quality control assessments of radiology equipment.
  • Küçük Resim Yok
    Öğe
    A new Radiation Dose Measurement Approach for X-ray Units on Biomedical Technical Service Applications: A Study of Radiology
    (Ieee, 2015) Tartar, Ahmet; Akan, Aydin
    Recently, the improvement of radiology systems along with the developing technologies has provided an important contribution in the diagnosis and treatment of numerous medical cases. In this study, we propose a new radiation dose measurement approach for patients and radiation workers on X-ray units. The approach is extremely important to correct the shortcomings in this area as well as to provide a gold standard for radiation quality control measurement of X-ray units. The implementation of the approach will allow to the elimination of concerns of patients and radiation workers about radiation. Also it will present the opportunity to work in a safe environment for radiologists and radiation workers.