Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data

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:	Mahbub, Riasat, Azim, Muhammad Anwarul, Reza, Khondaker Masfiq, Mahee, Md Nafiz Ishtiaque, MD. Zahidul Islam Sanjid
Beste egile batzuk:	Parvez, Mohammad Zavid
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Alzheimer’s disease Magnetic resonance imaging Convolutional neural network (CNN) Neural networks (Computer science) Computer networks
Sarrera elektronikoa:	http://hdl.handle.net/10361/16588

Antzeko izenburuak

Early prediction of Alzheimer's disease using convolutional neural network
nork: Abed, Mahjabeen Tamanna, et al.
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nork: Muktadir, MD. Arafat, et al.
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Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
nork: Shabnam, Farzana, et al.
Argitaratua: (2018)

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

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nork: Ashrafee, Md. Iftid, et al.
Argitaratua: (2024)

Exploring Alzheimer's disease prediction with XAI in various neural network models
nork: Rahman, Quazi Ashikur, et al.
Argitaratua: (2022)

Deep 3D convolutional neural network in early detection of Lung cancer
nork: Hossain, Khandoker Jobayer, et al.
Argitaratua: (2019)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
nork: Rahman, Fardin, et al.
Argitaratua: (2024)

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

Exploring deep features: deeper fully convolutional neural network for image segmentation
nork: Kamran, Sharif Amit, et al.
Argitaratua: (2017)

Bangla license plate recognition using convolutional neural networks (CNN)
nork: Rahman, M M Shaifur
Argitaratua: (2018)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
nork: Awwal, Alvina, et al.
Argitaratua: (2021)

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

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

Crime scene prediction by detecting threatening objects using convolutional neural network
nork: Nakib, Mohammad, et al.
Argitaratua: (2017)

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)

Detection of handwritten text using convolutional neural network
nork: Jasim, Rabib Bin, et al.
Argitaratua: (2024)

Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
Argitaratua: (2017)

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

Tomato leaf disease detection using convolutional neural network
nork: Hasan, Md. Riazul, et al.
Argitaratua: (2023)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
Argitaratua: (2022)

Brain tumor detection with convolutional neural network
nork: Galib, Abrar Tahmid, et al.
Argitaratua: (2024)

Prospective detection methods for Tau protein: an important biomarker for Alzheimer’s disease
nork: Afra, Sumaiya
Argitaratua: (2022)

Semantic text extraction from CAPTCHA using Neural Networking
nork: Chowdhury, Iftekhar Kabir, et al.
Argitaratua: (2022)

The long road to Stockholm
nork: Mansfield, P.

A review on adult neurogenesis in Alzheimer’s disease
nork: Akter, Moriam
Argitaratua: (2022)

Isolated bangla handwritten character & digit recognition using convolutional neural network
nork: Alif, Mujadded Al Rabbani, et al.
Argitaratua: (2018)

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

An introduction to neural networks /
nork: Anderson, James A.
Argitaratua: (1995)

Music genre classification with convolutional neural network
nork: Chowdhury, Masud, et al.
Argitaratua: (2022)

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

Image translation of Bangla and English sign language to written language using convolutional neural network
nork: Bismoy, Muttaki Islam, et al.
Argitaratua: (2022)

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

Modelling option prices using neural networks
nork: Nasim, Ahmed Zohair, et al.
Argitaratua: (2020)

A system to prevent social violence using convolutional neural network
nork: Akter, Sanzida, et al.
Argitaratua: (2023)

Fundamentals of neural networks : architectures, algorithms, and applications /
nork: Fausett, Laurene V.
Argitaratua: (1994)

Detection of multiple sclerosis using deep learning
nork: Jannat, Sabila Al, et al.
Argitaratua: (2021)

Analysis of uncertainty in different neural network structures using monte carlo dropout
nork: Islam, Md. Farhadul, et al.
Argitaratua: (2024)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
nork: Khilji, Ishfaque Qamar, et al.
Argitaratua: (2021)

Neural networks : a comprehensive foundation /
nork: Haykin, Simon S., 1931-
Argitaratua: (1999)