An efficient approach for binary classification in brain tumor detection using convolutional neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
Main Authors: | Islam, MD. Arman, Noshin, Sheikh Araf, Islam, MD. Robiul, Razy, MD. Farhan, Antara, Samiha |
---|---|
Outros autores: | Shakil, Arif |
Formato: | Thesis |
Idioma: | English |
Publicado: |
Brac University
2023
|
Subjects: | |
Acceso en liña: | http://hdl.handle.net/10361/21881 |
Títulos similares
-
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
por: Haque, Hossain MD. Hasibul, et al.
Publicado: (2024) -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
por: Farzana, Maisha, et al.
Publicado: (2021) -
Detecting brain tumor using deep neural networks from MRI images
por: Imamuzzaman, A.S.M., et al.
Publicado: (2021) -
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
por: Hasan, M. M. Kamrul, et al.
Publicado: (2022) -
A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
por: Bhuiya, Nabila
Publicado: (2023)