In-depth analysis of deep learning architectures for brain tumor classification in MRI scans

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.

Bibliografische gegevens
Hoofdauteurs:	Haque, Hossain MD. Hasibul, Apon, MD. Sayeed Arefin, Chowdhury, Dhrubo Rashid, Imtiaz, Shahriar Islam, Mahi, Nishat Tasnim
Andere auteurs:	Karim, Dewan Ziaul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Brain tumor CNN MRI Diagnosis Deep learning. Magnetic resonance imaging. Brain tumors > Diagnosis.
Online toegang:	http://hdl.handle.net/10361/24166

Gelijkaardige items

A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
door: Bhuiya, Nabila
Gepubliceerd in: (2023)

Detecting brain tumor using deep neural networks from MRI images
door: Imamuzzaman, A.S.M., et al.
Gepubliceerd in: (2021)

An efficient ML approach to detect brain tumor using MRI images
door: Muktadir, MD. Arafat, et al.
Gepubliceerd in: (2024)

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
door: Farzana, Maisha, et al.
Gepubliceerd in: (2021)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
door: Hossain, Shah Md. Shakhawath, et al.
Gepubliceerd in: (2024)

Pattern of brain tumor among admitted patients in a specialized center of Dhaka city: a cross sectional study
door: Tuly, Tangia Islam
Gepubliceerd in: (2018)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
door: Islam, MD. Arman, et al.
Gepubliceerd in: (2023)

Comparison of different CNN architectures for brain tumor detection using fMRI
door: Mashiat, Afsara, et al.
Gepubliceerd in: (2021)

An Efficient deep learning approach to detect Brain Tumor using MRI images
door: Islam, Annur Tasnim, et al.
Gepubliceerd in: (2022)

Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
door: Shabnam, Farzana, et al.
Gepubliceerd in: (2018)

Brain image fMRI data classification and graphical representation of visual object
door: Tasneem, Nazifa Afroza, et al.
Gepubliceerd in: (2019)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
door: Ali, Syed Muaz
Gepubliceerd in: (2023)

Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
door: Tuhin, Md. Akram Hossan, et al.
Gepubliceerd in: (2019)

Application of deep learning in MRI classification of Schizophrenia
door: Joyee, Ramisa Fariha, et al.
Gepubliceerd in: (2024)

Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
door: Khan, Akif Ahmed, et al.
Gepubliceerd in: (2020)

Brain tumor segmentation from MRI images using convolutional neural networks
door: Khan, Mushfiqur Rahman
Gepubliceerd in: (2024)

Nanotechnology advancement in the field of curing cancer
door: Nayon, MD.Khalid Mahmud
Gepubliceerd in: (2024)

Brain-Gain in Bangladesh: What makes it possible?
door: Rahman, Shahidur
Gepubliceerd in: (2016)

Automatic brain tumor segmentation using U-ResUNet chain model approach
door: Alam, Mohd Tanjeem, et al.
Gepubliceerd in: (2022)

Decipherable classification of glaucoma using deep neural network leveraging XAI
door: Chayan, Touhidul Islam, et al.
Gepubliceerd in: (2023)

Segmentation based Kidney Tumor Classification using Deep Neural Network
door: Mehedi, Md Humaion Kabir, et al.
Gepubliceerd in: (2022)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
door: Farha, Ramisa, et al.
Gepubliceerd in: (2022)

Nanomaterials for diagnosis and treatment of brain cancer
door: Tonny, Tamanna Shahrin
Gepubliceerd in: (2024)

Arresting tumor cell proliferation and inhibition of AKT pathway via the use of multikinase inhibitor sorafenib forthe treatment of glioblastoma
door: Raju, Md. Ismail
Gepubliceerd in: (2022)

The long road to Stockholm
door: Mansfield, P.

Nanobubble drug delivery system
door: Chowdhury, Yeasin
Gepubliceerd in: (2024)

Pediatric traumatic brain injury /
door: Snow, Jeffrey H.
Gepubliceerd in: (1994)

3D Brain image segmentation using 3D tiled convolution neural networks
door: Haque, Md Mahibul, et al.
Gepubliceerd in: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
door: Mahbub, Riasat, et al.
Gepubliceerd in: (2022)

Comparative analysis of neural network Models for peripheral blood cell image classification
door: Mollah, Md Tanzid, et al.
Gepubliceerd in: (2024)

Glymphatic system: a pathway for managing endogenous metabolites in CNS
door: Tasneem, Sadia
Gepubliceerd in: (2021)

Repurposing Albendazole and Mebendazole, an antiparasitic drug in treating colorectal cancer- a review
door: Mondal, Shawon
Gepubliceerd in: (2023)

Brain tumor detection with convolutional neural network
door: Galib, Abrar Tahmid, et al.
Gepubliceerd in: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
door: Ahmed, Kazi sabab, et al.
Gepubliceerd in: (2022)

Lung cancer detection and classification using machine learning
door: Arefin, Mahbubul, et al.
Gepubliceerd in: (2023)

Detection of multiple sclerosis using deep learning
door: Jannat, Sabila Al, et al.
Gepubliceerd in: (2021)

A review: combination of photon emission & genome engineering in brain stimulation
door: Audithi, Atiya Sunjida
Gepubliceerd in: (2024)

Bacterial identification of the vaginal micro biota and presence of pathogens causing bacterial vaginosis during pregnancy in Bangladeshi women
door: Hasan, Md Mahmud, et al.
Gepubliceerd in: (2022)

A literature review on the efficacy of test kits for COVID-19
door: Sajid, Saiara Sajita
Gepubliceerd in: (2022)

A review on nanoparticles based drug delivery in cancer treatment: advantages & challenges
door: Nahar, Kamrun
Gepubliceerd in: (2023)