Detecting brain tumor using deep neural networks from MRI images

Detecting brain tumor using deep neural networks from MRI images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiske detaljer
Main Authors:	Imamuzzaman, A.S.M., Sakline, Redwan Islam, Junaed, Sayed Rafi, Hossain, Mohammad Iqbal, Das, Dipto
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	CNN VGG16 ResNet50 Brain Tumor
Online adgang:	http://hdl.handle.net/10361/15203

Lignende værker

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
af: Haque, Hossain MD. Hasibul, et al.
Udgivet: (2024)

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

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

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

Brain tumor segmentation from MRI images using convolutional neural networks
af: Khan, Mushfiqur Rahman
Udgivet: (2024)

Identifying brain abnormalities using image processing and CNN models
af: Talukder, Ismat Shehrin, et al.
Udgivet: (2021)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
af: Sarwar, Arafat, et al.
Udgivet: (2023)

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

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

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

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

Bone age comparison using convolutional neural network
af: Nawaz, Fariha, et al.
Udgivet: (2019)

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

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
af: Tasnim, Sadia, et al.
Udgivet: (2023)

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

Covid-19 infected lung detection using machine learning
af: Islam, Md. Muntaha, et al.
Udgivet: (2022)

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

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
af: Akhter, Nasrin
Udgivet: (2023)

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

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

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
af: Khisa, Pushpakali, et al.
Udgivet: (2024)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
af: Choudhury, Prionto Kumar, et al.
Udgivet: (2024)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
af: Sarmi, Kaniz Fatima, et al.
Udgivet: (2022)

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

Speech command classification based on deep neural networks
af: Hossain, Md. Sakib, et al.
Udgivet: (2023)

Nanomaterials for diagnosis and treatment of brain cancer
af: Tonny, Tamanna Shahrin
Udgivet: (2024)

Pediatric traumatic brain injury /
af: Snow, Jeffrey H.
Udgivet: (1994)

Citrus leaf disease detection by image processing
af: Chowdhury, Mahir Faisal, et al.
Udgivet: (2024)

An efficient face recognition model using multiple angular images and deep neural network architecture
af: Subah, Silma, et al.
Udgivet: (2024)

Skin lesion classification using different CNN models
af: Oli, Md. Yahea Sultan
Udgivet: (2023)

An interpretable deep learning approach to detect Alzheimer using MRI images
af: Oni, Farhan Anzum, et al.
Udgivet: (2023)

Analyzing students’ concentration in online courses through Webcam
af: Asif, Md., et al.
Udgivet: (2024)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
af: Ismail, Sayem Mohammad, et al.
Udgivet: (2021)

Brain drain and brain gain

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
af: Rahman, Afridi Ibn, et al.
Udgivet: (2022)

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

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
af: Nag, Pollock, et al.
Udgivet: (2023)

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

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
af: Datta, Pranab, et al.
Udgivet: (2021)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
af: Khan, Farhan Sakib, et al.
Udgivet: (2022)