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.

Xehetasun bibliografikoak
Egile Nagusiak:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Beste egile batzuk:	Alam, Md. Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	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
Sarrera elektronikoa:	http://hdl.handle.net/10361/15737

Antzeko izenburuak

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

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

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

The long road to Stockholm
nork: Mansfield, P.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Introduction to magnetism and magnetic materials /
nork: Jiles, David
Argitaratua: (1998)

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

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

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

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