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Browsing by Subject "Brain tumors"

Browsing by Subject "Brain tumors"

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  • Automated Brain Disease Classification using Transfer Learning based Deep Learning Models 
    Alam, Farhana; Tisha, Farhana Chowdhury; Rahman, Sara Anisa; Sultana, Samia; Chowdhury, Md. Ahied Mahi; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Daffodil International University, 2022-10-05)
    Brain MRI (Magnetic Resonance Imaging) classification is one of the most significant areas of medical imaging. Among different types of procedures, MRI is the most trusted one to detect brain diseases. Manual and semi-automated ...
  • Brain Tumor Detection and Classification Using Deep Learning From Magnetic Resonance Images 
    Molla, Shourav; Azam, MD. Ali (Daffodil International University, 23-01-29)
    Brain tumors are the most conventional and aggressive illness and have an extremely low life expectancy in its most severe form. Uncontrolled growth as well as proliferation of skull cells results in the formation of brain ...
  • BrainNet-7 
    Rashid, Md. Harun-Or; Akter, Salma; Akhi, Amatul Bushra (Daffodil International University, 2022-01-20)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...
  • Classification of Brain Tumor from MRI Images 
    Islam, Jahanara (Daffodil International University, 23-07-25)
    Brain tumors are a significant pathological condition within the field of medicine that poses challenges in terms of accurate diagnosis. In recent times, the utilization of deep learning techniques has been employed to ...
  • Classifying & Detecting Brain Tumor Using CNN from MR Images 
    Hasan, Md. Mahamodul (Daffodil International University, 22-11-08)
    The frequency of brain tumors is expanding quickly especially within the youthful era. Tumors can specifically devastate all sound brain cells. Hands on examination could be produce errors. Modified examination methodology ...
  • Comparative Analysis of Multiple Pretrained CNN Models To Identify Human Brain Tumor Through Deep Learning. 
    Bhuiyan, Yeasin; Al Noman, MD Abdullah; Afrose, Sadia (Daffodil International University, 23-03-01)
    The tumor of brain is a severe disease condition caused by uncontrolled and improper cell division. One of the most deadly and severe cancers that can affect both adults and children is the brain tumor. Timely and precise ...
  • A Deep Learning Approach To Reduce Brain Cancer by Detecting and Localizing Tumor From Brain MRI Images 
    Khan, S. M. Ishtiaque Ahammed; Akter, Mst. Marium; Arefin, Abu Shahed Shah Md. Nazmul (Daffodil International University, 22-09-12)
    In terms of the neurological system, the brain is fundamental. A brain tumor is a growth or mass of abnormal tissue in the brain. And it's not uncommon for this to prove fatal. When a brain tumor is detected early, it can ...
  • Deep Learning Towards Multi-Classification of Tumors in Brain 
    Osman, Labeed Jafar (Daffodil International University, 22-08-01)
    Brain tumors are recognized as one of the most deadly malformations because of its persistent effects on the brain and consequent impact on the patient's overall wellbeing. Early detection of the brain tumors is prerequisite ...
  • Detection of Brain Tumor Using Machine Learning Approaches 
    Miah, Md. Nahid; Alam, Fazlul (Daffodil International University, 23-02-12)
    Brain tumor is a very panic issue because many people have died from this problem. Early detection of brain tumors can save many lives. Magnetic resonance imaging (MRI) is more effective than any other technique. In this ...
  • A Fine Tune VGG16 Model Based on Ablation Study for Diagnosing Brain Tumor from MRI Images 
    Islam, Rakibul (Daffodil International University, 23-01-29)
    Brain tumor recognition by magnetic resonance imaging (MRI) is crucial because it improves survival rates and allows them to plan treatments accordingly. The patient is at risk if a tumour in the brain, which is made up ...
  • MRI Based Brain Tumor Classification Using Convolutional Neural Network 
    Tona, Mou Afroz (Daffodil International University, 23-07-30)
    Purpose: It's a crucial and difficult task to define a brain tumor in the process of medical imaging. If the brain tumor can be classified, it might be quite important in improving the patient's likelihood of survival while ...
  • NDNN based U-Net 
    Trivedi, Sandeep; Patel, Nikhil; Faruqui, Nuruzzaman (Daffodil International University, 2023-05-03)
    Identifying and segmenting brain tumors using multi-sequence 3D volumetric MRI scans is time-consuming and challenging. Deep learning-based automatic image segmentation approaches are promising solutions to segment brain ...
  • Time Distributed -CNN-LSTM 
    Montaha, Sidratul; Azam, Sami; Rafid, A. K. M. Rakibul Haque; Hasan, MD. Zahid; Karim, Asif; Islam, Ashraful (Daffodil International University, 2022-06-10)
    Identification of brain tumors at an early stage is crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges of tumor biopsies, three dimensional (3D) Magnetic ...

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