Now showing items 1-4 of 4

    • Diabetic retinopathy detection and classification by using deep learning 

      Hossain, Shahriar; Evan, Md. Nurusshafi; Farhin, Fariya Zakir; Nabil, Mashrur Karim; Sadman, Sameen (Brac University, 2022-01)
      Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ...
    • Diabetic retinopathy detection using image-processing 

      Zaman, Asif Uz; Bashir, Shadaab Kawnain (BRAC University, 4/20/2016)
      Diabetic retinopathy is a leading problem throughout the world and many people are losing their vision because of this disease. The disease can get severe if it is not treated properly at its early stages. The damage in ...
    • Diabetic retinopathy detection using machine learning 

      Maliha, Maisha; Tareque, Ahmed; Roy, Sourav Saha (BRAC University, 4/4/2018)
      Diabetic Retinopathy (DR) is human eye disease among people with diabetics which causes damage to retina of eye and may eventually lead to complete blindness. Detection of diabetic retinopathy in early stage is essential ...
    • Early detection of diabetic retinopathy using deep learning techniques 

      Gomes, Veronica Jessica; Alavee, Kazi Ahnaf; Sarda, Anirudh; Akhand, Zebel-E-Noor (Brac University, 2021-10)
      We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ...