Browsing by Subject "Optical data processing"

Now showing items 1-6 of 6

    • Computer vision based skin disease detection using machine learning 

      Jayeb, Ahmad Wasiq; Hore, Alvin Rahul; Anjum, Ramisa; Sadeque, Sohana Sanjana; Auqib, Syed Tahsin (Brac University, 2022-09-28)
      Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ...

    • Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques 

      Rahman, Fardin; Sharif, Sadman; Islam, Syed Shams; Tirtho, Nihad Adnan Shah; Intheshar, Md. Ashir (Brac University, 2024-01)
      The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the speedy management and intervention of the disorder. Numerous valuable tools such as Magnetic Resonance Imaging (MRI), Positron Emission ...

    • Document template identification and data extraction using machine learning and deep learning approach 

      Roy, Kaushik; Islam, Md Fuad; Rimon, Md Minhazul Islam; Mobarak, Tasnim; Priota, Mysha Samiha (Brac University, 2024-01)
      As the world keeps progressing and we continue on our path to a technologically advanced tomorrow, the demand for quick data processing and organization is becoming more and more necessary. People now have access to ...

    • An efficient deep learning approach to predict heart failure from image data using ejection fraction 

      Tanvir, Nazmul Karim; Yeasin, MD. Nadim; MD. Mahmuduzzaman, Sarker; Ara, Jannat (Brac University, 2022-09-28)
      Heart is the core of human body. A normal heart beats almost 1,15,200 times in a day and 80 beats per second to make us live alive. But we often take it granted and do uncertain thinks which stops it to function perfectly. ...

    • Football offside tracking 

      Mitu, Ishrat Jahan; Chowdhury, Mohammad Hafiz-Ul-Islam; Rahman, Alif; Bhuiyan, Sabbir Rahman (Brac University, 2022-09-29)
      cutting-edge technology to help referees make accurate calls. Modern football tries to use VAR (Video Assistant Referee) technology to correct wrong calls like offside, but this is being delayed because the equipment ...

    • Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning 

      Nabil, Sheikh MD. Nafis Noor; Ahmed, Sabir; Chowdhury, Naimul Haque; Maria, Farhana Eyesmeen (Brac University, 2024-01)
      Classifying retinal diseases with a higher accuracy rate is one of the most important means in the medical field. In the case of image classification, finding a dataset becomes a significant challenge for such cases. As ...