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DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES

Diabetic Macular Edema (DME) is a common eye disease which causes irreversible vision loss for diabetic patients, if left untreated. Health care and associated costs for treatment related to eye disease also increases with severity of case. Thus, early diagnosis of DME could help in early treatme...

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Main Author: CHAN, GENEVIEVE CHEAU YANN
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/22940/1/GENEVIEVE_18430_FYP2_DISSERTATION.pdf
http://utpedia.utp.edu.my/22940/
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spelling my-utp-utpedia.229402022-03-07T03:07:15Z http://utpedia.utp.edu.my/22940/ DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES CHAN, GENEVIEVE CHEAU YANN TK Electrical engineering. Electronics Nuclear engineering Diabetic Macular Edema (DME) is a common eye disease which causes irreversible vision loss for diabetic patients, if left untreated. Health care and associated costs for treatment related to eye disease also increases with severity of case. Thus, early diagnosis of DME could help in early treatment and prevent blindness. Using a pretrained network of Convolutional Neural Network (CNN), this paper aims to create a framework based on deep learning for DME recognition on Spectral Domain Optical Coherence Tomography (SD-OCT) images through transfer learning, from a (limited) dataset retrieved from Singapore Eye Research Institute (SERI). The dataset consists of 16 volumes each for normal patients and DME patients with 128 images in each volume. Universiti Teknologi PETRONAS 2017-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22940/1/GENEVIEVE_18430_FYP2_DISSERTATION.pdf CHAN, GENEVIEVE CHEAU YANN (2017) DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
CHAN, GENEVIEVE CHEAU YANN
DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
description Diabetic Macular Edema (DME) is a common eye disease which causes irreversible vision loss for diabetic patients, if left untreated. Health care and associated costs for treatment related to eye disease also increases with severity of case. Thus, early diagnosis of DME could help in early treatment and prevent blindness. Using a pretrained network of Convolutional Neural Network (CNN), this paper aims to create a framework based on deep learning for DME recognition on Spectral Domain Optical Coherence Tomography (SD-OCT) images through transfer learning, from a (limited) dataset retrieved from Singapore Eye Research Institute (SERI). The dataset consists of 16 volumes each for normal patients and DME patients with 128 images in each volume.
format Final Year Project
author CHAN, GENEVIEVE CHEAU YANN
author_facet CHAN, GENEVIEVE CHEAU YANN
author_sort CHAN, GENEVIEVE CHEAU YANN
title DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
title_short DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
title_full DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
title_fullStr DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
title_full_unstemmed DEEP LEARNING FOR IMAGE PROCESSING, APPLICATION TO DIABETIC MACULAR EDEMA (DME) DETECTION ON OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGES
title_sort deep learning for image processing, application to diabetic macular edema (dme) detection on optical coherence tomography (oct) images
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/22940/1/GENEVIEVE_18430_FYP2_DISSERTATION.pdf
http://utpedia.utp.edu.my/22940/
_version_ 1739833010440634368
score 13.211869

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