An efficient ML approach to detect brain tumor using MRI images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Main Authors: | Muktadir, MD. Arafat, Ullah, A.S.M Rahmat, Hossain, Emdad, Islam, MD. Jubayer, Munny, Tanjila Akter |
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Andre forfattere: | Alam, Md. Ashraful |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2024
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Fag: | |
Online adgang: | http://hdl.handle.net/10361/22904 |
Lignende værker
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In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
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Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
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Udgivet: (2024) -
Intracranial hemorrhage detection using CNN-LSTM fusion model
af: Ahmed, Kazi sabab, et al.
Udgivet: (2022) -
Detection of multiple sclerosis using deep learning
af: Jannat, Sabila Al, et al.
Udgivet: (2021) -
Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
af: Shabnam, Farzana, et al.
Udgivet: (2018)