Browsing by Subject "Skin cancer"

Now showing items 1-9 of 9

    • Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture 

      Shafique, Nadia; Shaheen, Kaynat Bint; Sikder, Zarjis Husain; Dey, Utsho; Swacha, Sharforaz Rahman (Brac University, 2023-05)
      Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ...

    • 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 ...

    • Computer vision based skin disease detection using machine learning 

      Jayeb, Ahmad Wasiq; Hore, Alvin Rahul; Anjum, Ramisa; Sadeque, Sohana Sanjana; Auqib, Syed Tahsin (Brac University, 2022-09-28)
      Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ...

    • 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 efficient approach to detect melanoma skin cancer using a custom CNN model 

      Rahman, K.M Saidur; Amin, Tanjim Bin; Rahman, Mahdi Sakib; Sakib, G M Shadman Hossain (Brac University, 2022-09-28)
      Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ...

    • 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 ...

    • A review on melanoma treatment by cold atmospheric plasma 

      Pranto, Alif Hasan (Brac University, 2023-02)
      Melanoma is the deadliest form of skin cancer. According to the American Cancer Society, melanoma kills 158,000 people annually. No melanoma vaccine has been approved. "Wide local excision" surgery is used to treat early-stage ...