Browsing by Subject "Brain tumor"
Now showing items 1-6 of 6
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Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)Identifying brain tumors precisely within the early stage is still a challenging problem for the medical sector consistent with recent research. In a previous research approved by Cancer. Net Editorial Board, it was ... -
An efficient approach for binary classification in brain tumor detection using convolutional neural network
(Brac University, 2022-01)Brain tumor detection using Convolutional Neural Network (CNN) models with binary classification has significantly improved the reliability of medical imaging through Deep Learning. The purpose of this research is to ... -
An efficient ML approach to detect brain tumor using MRI images
(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 ... -
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)The brain is the most complicated organ that manages every bodily function as well including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature, and appetite. Any type of disease or damage ... -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
(Brac University, 2024)One of the deadliest and most difficult tumors to cure is a brain tumor. Patients diagnosed with brain tumors tend to have a comparatively shorter lifespan. This tumor can affect any individual of any age. To mitigate ... -
Pattern of brain tumor among admitted patients in a specialized center of Dhaka city: a cross sectional study
(BRAC University, 2017)A brain tumor is an intracranial solid neoplasm which involves varied types of cells. Management strategies and prognosis of tumor depends on the combination of factors like the type and grade of tumor, its location, size ...
