Kurum Yazarı "Saygılı, Ahmet" WoS İndeksli Yayınlar Koleksiyonu İçin Listeleme
-
Automatic detection of meniscal area in the knee MR images
Saygılı, Ahmet; Kaya, Heysem; Albayrak, Songül (IEEE, 2016)Nowadays computer-aided medical systems has become widespread. These systems assist the scientists in the medical field with diagnosis and treatment. In the same vein, in this study detection of medial meniscus from MR ... -
Comparative Analysis of Codeword Representation by Clustering Methods for the Classification of Histological Tissue Types
Saygılı, Ahmet; Uysal, Günalp; Bilgin, Gökhan (Spie-Int Soc Optical Engineering, 2015)In this study, the classification of several histological tissue types, i.e., muscles, nerves, connective and epithelial tissue cells, is studied in high resolutional histological images. In the feature extraction step, ... -
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
Saygılı, Ahmet; Albayrak, Songül (Elsevier, 2019)Menisci are structures that directly affect movement, so early detection of meniscus tears also helps to prevent progressive knee disorders such as osteoarthritis. Manual segmentation of the menisci and diagnosis of the ... -
Faculty of Engineering Students' Success Analysis with Clustering Methods
Saygılı, Ahmet; Albayrak, Songül (IEEE, 2013)In this study, data clustering analysis for the student of faculty of engineering carried out. Cluster analysis, using the different characteristics or similar properties of objects in the data set, aims at creating in the ... -
Knee Meniscus Segmentation and Tear Detection from MRI: A Review
Saygılı, Ahmet; Albayrak, Songül (Bentham Science Publ Ltd, 2020)Background: Automatic diagnostic systems in medical imaging provide useful information to support radiologists and other relevant experts. The systems that help radiologists in their analysis and diagnosis appear to be ... -
Meniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method
Saygılı, Ahmet; Albayrak, Songül (IEEE, 2017)Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ... -
Meniscus Tear Classification Using Histogram of Oriented Gradients in Knee MR Images
Saygılı, Ahmet; Albayrak, Songül (IEEE, 2018)Automatic segmentation and classification studies in medical images have been intensely studied in recent years. The results obtained will support the decisions of medical experts. In this study, features were obtained by ... -
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Saygılı, Ahmet (Elsevier Ltd, 2021)The COVID-19 outbreak has been causing a global health crisis since December 2019. Due to this virus declared by the World Health Organization as a pandemic, the health authorities of the countries are constantly trying ... -
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
Saygılı, Ahmet; Albayrak, Songül (Elsevier, 2017)Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common causes of disability, especially among young ...