In this study, a computer-aided detection (CAD) system was developed for the detection of lung nodules in computed tomography images. The CAD system consists of four phases, including two-dimensional and three-dimension ...

Developing the system which will help doctors with the result to be obtained from the medical data sets by realizing the design of the medical decision support system in which data mining methods are used is the primary ...

Non-invasive rapid diagnostic tests (RDT) are commonly used to detect some kind of viruses or bacteria instead of invasive methods. Helicobacter pylori (H. Pylori) which causes gastric cancer, peptic ulcer, gastritis, ...

Today, as a result of the widespread use of electronic stethoscopes, lung sounds can be recorded and transferred to a computer. Thus, it was possible to analyze the lung sounds. Healthy lung sounds are called normal ...

Medical images are crucial data sources for diseases that can not be diagnosed easily. X-rays, one of the medical images, have high resolution. Processing high-resolution images leads to a few problems such as difficulties ...

This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ...

Genetic algorithms (GA) are mostly used for feature selection in literature. In this study, multi-parent crossover operators are used in genetic algorithms for feature selection. The uniform crossover, occurrence-based ...

Motivated by the network coverage of the trans- mitter, this research proposes a novel coverage-based method to improve the Nearest Centroid’s class prediction by replacing the centroid with radius coverage as the ...

Dünya genelinde her yıl milyonlarca kişiye cilt kanseri tanısı konulmakta ve çok sayıda insan bu hastalıktan dolayı hayatını kaybetmektedir.Cilt hastalıklarında erken tanı önemlidir.Bu nedenle, Cilt hastalıklarının bilgisayar ...

Bu çalışmada öznitelik seçimi probleminin çözümü için meta-sezgisel algoritmalardan İkili Parçacık Sürü Optimizasyonu algoritmasının Karşıt Tabanlı Öğrenme yöntemi ile kullanıldığı yeni yaklaşım önerilmiştir. Karşıt Tabanlı ...