Efficient image processing and machine learning approach for predicting retinal diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

書目詳細資料
Main Authors:	Hasib, Mehadi Hasan, Sultana, Tasnim, Chowdhury, Chandrika
其他作者:	Alam, Md. Ashraful
格式:	Thesis
語言:	en_US
出版:	Brac University 2021
主題:	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease
在線閱讀:	http://dspace.bracu.ac.bd/xmlui/handle/10361/14451

id	10361-14451
record_format	dspace
spelling	10361-144512022-01-26T10:13:16Z Efficient image processing and machine learning approach for predicting retinal diseases Hasib, Mehadi Hasan Sultana, Tasnim Chowdhury, Chandrika Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 22-25). As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector and started getting used in classify diseases. Lots of research are currently going on to predict retinal diseases using deep learning algorithms. However, very small amount of research have been conducted on predicting choroidal neovascularization (CNV), Diabetic Macular Edema (DME) and DRUSEN. In this paper, we have classified OCT images into 4 categories (CNV, DME, DRUSEN and natural retina) by using two deep learning algorithm (convolutional neural network and artificial neural network). Before passing the images into the neural network, we have performed a number of preprocessing methods on the images. Furthermore, we have implemented different model for each algorithms. Each model has varying numbers of hidden layer attached to it. After completing our research we have found out that, convolutional neural network with four hidden layers ou Mehadi Hasan Hasib Tasnim Sultana Chandrika Chowdhury B. Computer Science 2021-05-29T17:31:46Z 2021-05-29T17:31:46Z 2020 2020-04 Thesis ID: 1530112 ID: 15301025 ID: 19341025 http://dspace.bracu.ac.bd/xmlui/handle/10361/14451 en_US 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. 25 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	en_US
topic	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease
spellingShingle	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease Hasib, Mehadi Hasan Sultana, Tasnim Chowdhury, Chandrika Efficient image processing and machine learning approach for predicting retinal diseases
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
author2	Alam, Md. Ashraful
author_facet	Alam, Md. Ashraful Hasib, Mehadi Hasan Sultana, Tasnim Chowdhury, Chandrika
format	Thesis
author	Hasib, Mehadi Hasan Sultana, Tasnim Chowdhury, Chandrika
author_sort	Hasib, Mehadi Hasan
title	Efficient image processing and machine learning approach for predicting retinal diseases
title_short	Efficient image processing and machine learning approach for predicting retinal diseases
title_full	Efficient image processing and machine learning approach for predicting retinal diseases
title_fullStr	Efficient image processing and machine learning approach for predicting retinal diseases
title_full_unstemmed	Efficient image processing and machine learning approach for predicting retinal diseases
title_sort	efficient image processing and machine learning approach for predicting retinal diseases
publisher	Brac University
publishDate	2021
url	http://dspace.bracu.ac.bd/xmlui/handle/10361/14451
work_keys_str_mv	AT hasibmehadihasan efficientimageprocessingandmachinelearningapproachforpredictingretinaldiseases AT sultanatasnim efficientimageprocessingandmachinelearningapproachforpredictingretinaldiseases AT chowdhurychandrika efficientimageprocessingandmachinelearningapproachforpredictingretinaldiseases
_version_	1814308066124890112

Efficient image processing and machine learning approach for predicting retinal diseases

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