Detection of alzheimer's disease using deep learning

Detection of alzheimer's disease 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, 2019.

Bibliografiske detaljer
Main Authors:	Hasan, Mahmudul, Hassan, Syed Zafrul, Azmi, Tanzina Hassan, Hossain, Emtiaz
Andre forfattere:	Parvez, Mohammad Zavid
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Alzheimer Machine learning Deep learning CNN MRI OASIS-1 Confusion matrix ROC curve
Online adgang:	http://hdl.handle.net/10361/14404

Lignende værker

Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
af: Kabir, Azmain, et al.
Udgivet: (2022)

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

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
af: Sani, Mehedi Hasan, et al.
Udgivet: (2022)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
af: Bhuiyan, Mazedul Haque, et al.
Udgivet: (2021)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
af: Niloy, Ahashan Habib, et al.
Udgivet: (2021)

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

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
af: Shafique, Nadia, et al.
Udgivet: (2023)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
af: Shahriar, Farhan, et al.
Udgivet: (2021)

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

Credit card fraud detection using machine learning techniques
af: Kabir, Tasmia, et al.
Udgivet: (2021)

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

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

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

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

Marine compounds in the treatment of Alzheimer’s disease
af: Parveen, Sanjana
Udgivet: (2022)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
af: Fiona, Driciru, et al.
Udgivet: (2024)

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

Deep learning-based waste classification system for efficient waste management
af: Nakib, Abdullah Al, et al.
Udgivet: (2022)

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Appraising Credit Ratings : Does the CAP Fit Better than the ROC? /
af: Irwin, R. John
Udgivet: (2012)

Analysis of the impact of online education using EEG signals and machine learning algorithms
af: Hoque, Ehsanul, et al.
Udgivet: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
af: Sagor, Mostofa Kamal, et al.
Udgivet: (2021)

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

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

A deep learning approach towards soft biometrics attributes prediction using CNN
af: Kibria, Maharab, et al.
Udgivet: (2022)

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

Skin disease detection and classification using deep learning
af: Shuvon, Mehedi Hasan, et al.
Udgivet: (2022)

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

Exploring the role of programmed cell death protein 1 in alzheimer’s disease associated autoimmunity
af: Aana, Afsara Sumon
Udgivet: (2021)

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

Efficacy of Rivastigmine in Alzheimer’s disease- A structured seview
af: Alim, Abdul
Udgivet: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

Bio-similar drug development and accessible drugs in the market for the treatment of Alzheimer's Disease: Current status
af: Tamanna, Mst. Taskia
Udgivet: (2023)

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

Autism detection based on MRI images using Deep Learning
af: Mostafa, Sadab, et al.
Udgivet: (2023)

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

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
af: Ahasan, Md. Mubtasim, et al.
Udgivet: (2022)

An efficient deep learning approach to detect citrus leaves disease
af: Emon, Shaharear Hossain, et al.
Udgivet: (2024)

Damaged road detection using Image Processing and Deep Learning
af: Swadesh, Shimran Mahbub, et al.
Udgivet: (2022)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
af: Ashraf, S.M. Nabil, et al.
Udgivet: (2021)