Now showing items 1-3 of 3

    • Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network 

      Choudhury, Prionto Kumar; Anika, Asma Akter; Ramisa, Sumaiya Rahman; Zaman, Arsi; Chowdhury, Rizvee Rifat (Brac University, 2024-01)
      Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination of fundus images of the eye. While deep learning is commonly used to process and identify diseases in medical images, ocular toxoplasmosis ...
    • 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 ...
    • 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. ...