Now showing items 1-7 of 7

    • Approaching transfer learning to identify correctly worn facial masks 

      Sadid, Tausif; Hossain, Md Sadik; Sengupta, Sudip Kumar; Khondaker, Serazam Munira (Brac University, 2021-06)
      Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ...
    • Bone age comparison using convolutional neural network 

      Nawaz, Fariha; Akib, Md. Samiul; Imtiaz, Asif; Ahmad, Sakib Uddin (BRAC University, 2019-04)
      In the last few years,Machine Learning has taken the world by storm. From predictive web browsing to the email and text classi cation,from the autonomous car to facial recognition, machine learning is the main core of ...
    • Detecting brain tumor using deep neural networks from MRI images 

      Imamuzzaman, A.S.M.; Sakline, Redwan Islam; Junaed, Sayed Rafi; Hossain, Mohammad Iqbal; Das, Dipto (Brac University, 2021-06)
      A brain tumor is a collection of abnormal cells growth in brain. It is a neurological disease which causes great damage and affects other healthy cells of brain. It can be cancerous or non-cancerous. Nowadays, people are ...
    • Detection of intracranial hemorrhage on CT scan images using convolutional neural network 

      Rahman, Afridi Ibn; Bhuiyan, Subhi; Reza, Ziad Hasan; Zaheen, Jasarat; Khan, Tasin Al Nahian (Brac University, 2021-09)
      Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ...
    • Identifying brain abnormalities using image processing and CNN models 

      Talukder, Ismat Shehrin; Ninty, Rifa Tasmim; Saimon, Md. Galib Hamza; Akbar, Shafkat Asif (Brac University, 2021-06)
      In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
    • Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI 

      Dipto, Shakib Mahmud; Afifa, Irfana; Kabir, Sumya (Brac University, 2021-06)
      COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ...
    • 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 ...