Now showing items 1-4 of 4

    • 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 and 3D visualization of Brain tumor using deep learning and polynomial interpolation 

      Tuhin, Md. Akram Hossan; Pramanick, Tarunya; Emon, Humayoun Kabir; Rahman, Wasiur (Brac University, 2019-04)
      Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately ...
    • 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 ...
    • Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder 

      Farzana, Maisha; Any, Md. Jahid Hossain (Brac University, 2020-03)
      Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ...