Now showing items 1-4 of 4

    • Brain tumor detection through image processing 

      Azmim, Tahaziba; Shumon, Azizul Hakim chy.; Alam, Maksud; Mishu, Saurav Ahmed; Chowdhury, Nuhash Ahmed (Brac University, 2021-01)
      Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
    • A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh 

      Islam, Tanhim; Chisty, Tanjir Alam; Roy, Prova (BRAC University, 2018)
      Agriculture is the essential ingredients to mankind which is a major source of livelihood and that provides the wide-reaching scope of working opportunities for rural people in underdeveloped or developing countries. ...
    • Early detection of cervical cancer using deep neural networks 

      Akhund, Atoshi; Ahmad, Saad; Taki, Sarwar Siddiqui (Brac University, 2022-05)
      Cervical cancer is a disease that is mostly preventable, but it is one of the major causes of cancer fatality in women worldwide. Several studies say that annually 2,60,000 women die because of cervical cancer. Chronic ...
    • An efficient ML approach to detect brain tumor using MRI images 

      Muktadir, MD. Arafat; Ullah, A.S.M Rahmat; Hossain, Emdad; Islam, MD. Jubayer; Munny, Tanjila Akter (Brac University, 2023-05)
      Brain tumors have become the most leading causes of death worldwide. Brain tumors can be fatal, have a severe impact on quality of life, and completely alter a patient’s and their loved ones’ lives. Early diagnosis of ...