Now showing items 1-2 of 2

    • Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network 

      Ismail, Sayem Mohammad; Hossain, Md. Sajjad; Sobhan, Irina (Brac University, 2020-06)
      Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...
    • RetinalNet-500: a newly developed CNN model for eye disease detection 

      Toki, Sadikul Alim; Rahman, Sohanoor; Fahim, SM Mohtasim Billah; Mostakim, Abdullah Al (Brac University, 2022-05)
      Fundus images are commonly used by medical experts like ophthalmologists, which are very helpful in detecting various retinal disorders. They used this to diagnose the different types of eye diseases like Cataracts, ...