Now showing items 1-4 of 4

    • Detection of skin cancer using Convolutional neural network 

      Ahsan, Abu Sa-adat Mohamed Moon-Im Al; Alif, Shadman Monsur; Kibria, Junaid Bin; Gomes, Prince Elvis (Brac University, 2019-10)
      One of the most common and fatal cancer in the universe is skin cancer which arise from skin of epidermis, the topmost layer of the skin, it can happen anywhere in the body. We can find out the cancer by early detection. ...
    • An enhanced CNN model for classifying skin cancer 

      Haider, Kazi MD Minhajul; Dhar, Mondira; Akter, Fahima; Islam, Sadia; Shariar, Syed Ragib (Brac University, 2022-01)
      Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ...
    • Integration of handcrafted and deep neural features for Melanoma classification 

      Rahman, Mohammad Saminoor; Hossain, Md. Jubayer; Islam, Siful; Kabir, Md. Nafiul; Sujon, Md. Kamrul Hasan (Brac University, 2021-09)
      Deep neural networks (DNNs) are widely utilized to automate medical image in- terpretation in many forms of cancer diagnosis and to support medical specialists with fast data processing. Although man-made characteristics ...
    • Potential of nanoparticles as a topical drug delivery system for skin cancer: a review 

      Islam, Karima (Brac University, 2022-07)
      Skin cancer is among the most widespread and challenging forms of cancer, with high death rates globally, the seventeenth most prevalent cancer in the world. Conventional treatment options for skin cancer, including surgical ...