Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Diagnostics (Basel)"

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    • A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering 

      Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (Journal article; Peer reviewed, 2023)
      An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient data ...

    • An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset 

      Alam, Talha Mahboob; Shaukat, Kamran; Khan, Waseem Ahmad; Hameed, Ibrahim A.; Almuqren, Latifah Abd.; Raza, Muhammad Ahsan; Aslam, Memoona; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ...

    • A Proposed Framework for Early Prediction of Schistosomiasis 

      Ali, Zain; Hayat, Muhammad Faisal; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Basheer, Shakila; Ayadi, Manel; Ksibi, Amel (Peer reviewed; Journal article, 2022)
      Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body. ...

    • SCDet: A Robust Approach for the Detection of Skin Lesions 

      Shahbaz, Sikandar; Rabbia, Mahum; Adham E., Ragab; Yildirim-Yayilgan, Sule; Shaikh, Sarang (Journal article; Peer reviewed, 2023)
      Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are known as skin cancer that is categorized into two types: benign and malignant. Skin cancer can lead to death in advanced stages, ...

    • Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis 

      Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)
      Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide ...