Detection of multiple sclerosis using deep learning

Detection of multiple sclerosis using deep learning

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

Bibliografiska uppgifter
Huvudupphovsmän:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Övriga upphovsmän:	Alam, Md. Ashraful
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2021
Ämnen:	Magnetic Resonance Imaging(MRI) Machine Learning Multiple Scle- rosis(MS) 3D Magnetic Resonance Imaging White Matter Lesion Detection Deep Learning Convolutional Neural Network(CNN) Fluid-attenuated inversion recovery (FLAIR) Data Augmentation Image Processing
Länkar:	http://hdl.handle.net/10361/15737

Liknande verk

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

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

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

The long road to Stockholm
av: Mansfield, P.

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

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

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

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

Early prediction of Alzheimer's disease using convolutional neural network
av: Abed, Mahjabeen Tamanna, et al.
Publicerad: (2020)

Classification of different magnetic structures from image data using deep neural networks
av: Ibn Hasib, Fahad, et al.
Publicerad: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
av: Chowdhury, Himadri, et al.
Publicerad: (2019)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
av: Ahmed, Yasin, et al.
Publicerad: (2018)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
av: Sharma, Tanmoyee, et al.
Publicerad: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
av: Neehal, Ahmed Hasin, et al.
Publicerad: (2020)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
av: Mizan, Mubasshira, et al.
Publicerad: (2024)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
av: Rahman, Aryan, et al.
Publicerad: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
av: Badhon, Ariful Islam Mahmud, et al.
Publicerad: (2022)

Monitoring of endangered fish using image processing and AI tools
av: Hossain, Naheen, et al.
Publicerad: (2019)

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
av: Rafi, Ahmad Abdur, et al.
Publicerad: (2023)

Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
av: Nabil, Sheikh MD. Nafis Noor, et al.
Publicerad: (2024)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
av: Alhossen, Md., et al.
Publicerad: (2021)

RetinalNet-500: a newly developed CNN model for eye disease detection
av: Toki, Sadikul Alim, et al.
Publicerad: (2023)

Deep convolutional GAN-based data augmentation for medical image classification
av: Datta, Joy, et al.
Publicerad: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
av: Hasan, M. M. Kamrul, et al.
Publicerad: (2022)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
av: Abir, Tawhidur Rahman, et al.
Publicerad: (2019)

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
av: Dipto, Shakib Mahmud
Publicerad: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
av: Sakir, Adnan, et al.
Publicerad: (2023)

Fake profile detection in social media using image processing and machine learning
av: Sen, Shuva, et al.
Publicerad: (2021)

Corn leaf disease detection using deep convolution neural network
av: Rabbi, Rawhatur, et al.
Publicerad: (2023)

Reconstruction of images with RPCA and augmenting 3D model
av: Tahiti, Tasnia Jasim, et al.
Publicerad: (2022)

An efficient deep learning approach to detect skin Cancer
av: Islam, Ashfaqul, et al.
Publicerad: (2022)

Implementation of soft switching in resonant converters
av: Mehedy, Mehedy Hachan, et al.
Publicerad: (2018)

Detecting propagandistic poster title: a machine learning approach
av: Mahmood, Riaz, et al.
Publicerad: (2024)

Road sign detection and translation in Bangla using image processing and machine learning
av: Islam, Khalid Amirul, et al.
Publicerad: (2019)

Generation of realistic images from human drawn sketches using deep learning
av: Mahbub, Mohammed Julfikar Ali, et al.
Publicerad: (2022)

Introduction to magnetism and magnetic materials /
av: Jiles, David
Publicerad: (1998)

A modern technique to detect potholes by Computer Vision and Deep Learning
av: Saif, Muntasir Mahmud, et al.
Publicerad: (2023)

Deep learning-based real-time pothole detection for avoiding road accident
av: Basher, Rafsan, et al.
Publicerad: (2022)

Classification of Bangladeshi soil texture using convolutional neural network
av: Raj, Hafiz Mohiuddin, et al.
Publicerad: (2023)

Analysis of deep learning models on low-light pest detection
av: Irtiza, Md. Samin, et al.
Publicerad: (2023)