Now showing items 1-2 of 2

    • A novel ECG signal classification method using DEA-ELM 

      Diker, Aykut; Avci, Engin; Tanyildizi, Erkan; Gedikpinar, Mehmet (Churchıll Lıvıngstone, 2020)
      Electrocardiogram (ECG) signals represent the electrical mobility of the human heart. In recent years, computer-aided systems have helped to cardiologists in the detection, classification and diagnosis of ECG. The aim of ...
    • Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation 

      Budak, Umit; Guo, Yanhui; Tanyildizi, Erkan; Sengur, Abdulkadir (Churchıll Lıvıngstone, 2020)
      Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) images analysis due to its shape variation and vague boundary. The general hypothesis says that deep learning methods produce ...