Now showing items 1-4 of 4

    • Classification of Bangladeshi soil texture using convolutional neural network 

      Raj, Hafiz Mohiuddin; Shahreen, Sazia; Shah, Muntaha Binte; Evan, Syed Washinur Ashraf; Abdullah, Juhayer (Brac University, 2022-09-29)
      In agriculture, soil is one of the most potential output sources. That is why, if we can foresee the soil’s nature and how it will turn in the future as well as it’s other qualities, we may achieve adequate monitoring ...
    • An Efficient deep learning approach to detect Brain Tumor using MRI images 

      Islam, Annur Tasnim; Apu, Sakib Mashra; Sarker, Sudipta; Hasan, Inzamam M.; Shuvo, Syeed Alam (Brac University, 2021-10)
      A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ...
    • Integration of handcrafted and deep neural features for Melanoma classification 

      Rahman, Mohammad Saminoor; Hossain, Md. Jubayer; Islam, Siful; Kabir, Md. Nafiul; Sujon, Md. Kamrul Hasan (Brac University, 2021-09)
      Deep neural networks (DNNs) are widely utilized to automate medical image in- terpretation in many forms of cancer diagnosis and to support medical specialists with fast data processing. Although man-made characteristics ...
    • Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images 

      Ahmed, Sarder Tanvir; Mahdin, Mohammad Fairoz; Barua, Shomtirtha; Abir, Fahim Shariar (Brac University, 2023)
      "COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the COVID-19 pandemic first began there ...