Now showing items 1-3 of 3

    • A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer 

      Nawrin, Ishrat Nur; Trina, Tonusree Talukder (Brac University, 2023-05)
      Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...
    • Point-of care diagnostic devices in cancer detection 

      Yasmin, Rizwana (Brac University, 2022-04)
      Cancer is the leading cause of mortality in the world, claiming the lives of one in every seven people. It is commonly known that early detection and screening are critical for boosting the chances of recovery. Patients, ...
    • Skin cancer classification for seven types of skin lesions 

      Rahman, Md. Tawsifur; Azad, Md. Siam Sadman; Muhtasim, Ali (Brac University, 2023-05)
      Machine learning (ML) for skin lesion identification employs algorithms, notably convolutional neural networks (CNNs), to categorize and detect skin lesions, aiming to enhance early detection and treatment of skin cancer. ...