Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiska uppgifter
Huvudupphovsmän:	Roy, Aditya, Rahman, Md. Mahbubur, Ahmed, Shafi
Övriga upphovsmän:	Rabiul Alam, Md. Golam
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2023
Ämnen:	Federated Learning Generative Adversarial Network (GAN) Augmentation Classification Alzheimer’s Disease Biomedical Technology > methods
Länkar:	http://hdl.handle.net/10361/17946

id	10361-17946
record_format	dspace
spelling	10361-179462023-03-22T05:27:32Z Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease Roy, Aditya Rahman, Md. Mahbubur Ahmed, Shafi Rabiul Alam, Md. Golam Department of Computer Science and Engineering, Brac University Federated Learning Generative Adversarial Network (GAN) Augmentation Classification Alzheimer’s Disease Biomedical Technology--methods This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 58-61). Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image Augmentation and Classification for Alzheimer’s Disease’ will focus on augmenting the medical images using Federated Generative Adversarial Network. Due to patient-doctor confiden tiality, the scarcity of data in the medical sector is a massive hindrance to the advancement of machine learning models in this sector. Our study aims to augment the existing medical data, in this case, magnetic resonance imaging(MRI) images of the brain, and test that augmented dataset on existing classification models to eval uate our generated MRI images’ quality. Generative Adversarial Networks (GANs) have been utilized in order to synthesize realistic and varied Alzheimer’s disease affected MRI images in order to cover the data shortage in the actual medical image distribution and identify Alzheimer’s disease using Federated Learning. We expect our proposed model to successfully augment the medical images and be over 90% accurate at detecting the medical condition. Aditya Roy Md. Mahbubur Rahman Shafi Ahmed B. Computer Science 2023-03-06T10:28:35Z 2023-03-06T10:28:35Z 2022 2022-09 Thesis ID: 19101414 ID: 19101069 ID: 19101424 http://hdl.handle.net/10361/17946 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 61 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Federated Learning Generative Adversarial Network (GAN) Augmentation Classification Alzheimer’s Disease Biomedical Technology--methods
spellingShingle	Federated Learning Generative Adversarial Network (GAN) Augmentation Classification Alzheimer’s Disease Biomedical Technology--methods Roy, Aditya Rahman, Md. Mahbubur Ahmed, Shafi Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
author2	Rabiul Alam, Md. Golam
author_facet	Rabiul Alam, Md. Golam Roy, Aditya Rahman, Md. Mahbubur Ahmed, Shafi
format	Thesis
author	Roy, Aditya Rahman, Md. Mahbubur Ahmed, Shafi
author_sort	Roy, Aditya
title	Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
title_short	Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
title_full	Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
title_fullStr	Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
title_full_unstemmed	Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
title_sort	federated gan based biomedical image augmentation and classification for alzheimer’s disease
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/17946
work_keys_str_mv	AT royaditya federatedganbasedbiomedicalimageaugmentationandclassificationforalzheimersdisease AT rahmanmdmahbubur federatedganbasedbiomedicalimageaugmentationandclassificationforalzheimersdisease AT ahmedshafi federatedganbasedbiomedicalimageaugmentationandclassificationforalzheimersdisease
_version_	1814309715040010240

Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease

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