In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Main Authors: | Haque, Hossain MD. Hasibul, Apon, MD. Sayeed Arefin, Chowdhury, Dhrubo Rashid, Imtiaz, Shahriar Islam, Mahi, Nishat Tasnim |
---|---|
מחברים אחרים: | Karim, Dewan Ziaul |
פורמט: | Thesis |
שפה: | English |
יצא לאור: |
Brac University
2024
|
נושאים: | |
גישה מקוונת: | http://hdl.handle.net/10361/24166 |
פריטים דומים
-
A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
מאת: Bhuiya, Nabila
יצא לאור: (2023) -
Detecting brain tumor using deep neural networks from MRI images
מאת: Imamuzzaman, A.S.M., et al.
יצא לאור: (2021) -
An efficient ML approach to detect brain tumor using MRI images
מאת: Muktadir, MD. Arafat, et al.
יצא לאור: (2024) -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
מאת: Farzana, Maisha, et al.
יצא לאור: (2021) -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
מאת: Hossain, Shah Md. Shakhawath, et al.
יצא לאור: (2024)