Browsing by Subject "Melanoma"

Now showing items 1-12 of 12

    • DenseNet based skin lesion classification and melanoma detection 

      Munaf, Arifuzzaman; Hoque, Ariful; Jawwad, Kazi Asif (Brac University, 2021-06)
      In the language of medical science, the most harmful variant of skin cancer that may develop in human cells is distinguished as melanoma. The principal reasons behind developing melanoma in human skin are still unknown. ...

    • Detection of skin diseases using deep learning 

      Shodoy, Masuk Ur Rahman (2023-09)
      As a topic of global health importance, skin diseases must be quickly identified and accurately diagnosed to allow for effective treatment. Specifically for the classification of skin diseases, the use of deep learning ...

    • 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 ...

    • Elucidating the functional roles of bidirectionally transcribed genes in immunobiology of cancers 

      Ahmad, Sheikh Shafin (Brac University, 2021-06)
      In the realm of correlated regulations in genomic context, bidirectional genes have a spatial and functional connection unlike any other. These are genes originating on the same genomic position, but on opposite strands. ...

    • Exploring the use of Ingenol Mebutate to prevent non-melanoma skin cancer: A review 

      Haque, Fariha (Brac University, 2022-09)
      Globally, the incidence of non-melanoma skin cancer is increasing rapidly. Actinic keratosis (AK) is a type of sun damaged skin disease with a greater probability of turning into squamous cell cancer. However it is ...

    • 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 ...

    • The Pharmacological potential of lupeol and derivatives: A corroborative analysis 

      Sowa, Rodoshi Mahfuz (Brac University, 2022-02)
      Recently researchers are centered on creating drug-like substance as an elective to the accessibledrugs with less adverseeffects.Besides, peopleproceed to be influenced by a fewillnessesbasically due to environmentalstrengths ...

    • 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 combinatorial therapies in Melanoma 

      Ahmmed, Md. Kawsar (Brac University, 2023-10)
      Melanoma is the most deadly form of skin cancer due to its resistance to traditional cytotoxic treatment. However, innovative treatments have changed this disease's clinical trajectory. Understanding cancer microenvironment ...

    • 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 ...

    • A review on Metastatic Melanoma combination therapy Ipilimumab-Nivolumab 

      Chakraborty, Anupama (Brac University, 2023-10)
      Chemotherapy, radiation therapy, surgery, and other treatments have proven to be ineffective for a patient suffering with metastatic melanoma. Recently, immunotherapy has become a potential method for treating the condition. ...

    • Skin lesion classification using different CNN models 

      Oli, Md. Yahea Sultan (Brac University, 2023-05)
      The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...