Blar i TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) på forfatter "Thambawita, Vajira"

Viser treff 1-6 av 6

    • Comparing Recurrent Neural Networks for ECG analysis 

      Sæther, Sander (Master thesis, 2023)
      In this thesis, the effectiveness of three types of Recurrent Neural Networks (RNNs) - Basic RNN, Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) - are examined for Electrocardiogram (ECG) signal classification. ...

    • Conditional Deep Generative Models for Generating Synthetic Electrocardiograms 

      Upreti, Ramesh (Master thesis, 2023)
      Using artificial intelligence (AI)-based diagnostic tools to assist healthcare professionals has increased significantly in recent years. However, AI is a heavily data-driven approach. Because of lack of data and especially ...

    • An evaluation of using transformer networks for ECG Analysis 

      Yawar, Syeda Ambreen (Master thesis, 2023)
      Electrocardiogram (ECG) is a simulated recording of heart activity in electrical signals. It carries essential clinical information in the form of amplitude and timing. It is used to monitor and analyze the functionality ...

    • Generating Synthetic Medical Images with 3D GANs 

      Guttulsrud, Håkon (Master thesis, 2023)
      This thesis presents a novel approach to overcoming the challenges associated with the scarcity of annotated medical image data, a significant hurdle in cancer detection. We propose the use of Generative Adversarial Networks ...

    • An Investigation into using Deep Convolutional Neural Networks for ECG Analysis 

      Hameed, Mohammad Awais (Master thesis, 2023)
      In this day and age, the fascination surrounding deep learning and AI is at its absolute peak. Both in terms of hype and controversy the current interest level is unprecedented, with exciting developments happening at a ...

    • Polyps segmentation using synthetic images generated by GAN 

      Fagereng, Jan André (ACIT;2022, Master thesis, 2022)
      Early identification of polyps in the lower gastrointestinal (GI) tract can lead to prevention of life-threatening colorectal cancer. Multiple studies have shown that up to 28% of polyps might be missed during ...