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.
Auteurs principaux: | Islam, MD. Arman, Noshin, Sheikh Araf, Islam, MD. Robiul, Razy, MD. Farhan, Antara, Samiha |
---|---|
Autres auteurs: | Shakil, Arif |
Format: | Thèse |
Langue: | English |
Publié: |
Brac University
2023
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/21881 |
Documents similaires
-
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
par: Haque, Hossain MD. Hasibul, et autres
Publié: (2024) -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
par: Farzana, Maisha, et autres
Publié: (2021) -
Detecting brain tumor using deep neural networks from MRI images
par: Imamuzzaman, A.S.M., et autres
Publié: (2021) -
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
par: Hasan, M. M. Kamrul, et autres
Publié: (2022) -
A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
par: Bhuiya, Nabila
Publié: (2023)