Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Saeed Shurrab; Yazan Shannak; Rehab Duwairi

doi:10.34028/iajit

Article Details

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Authors:

Saeed Shurrab | Yazan Shannak | Rehab Duwairi

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.20 Issue 3, pp.357-367

Document Type:

Article

Publication Date:

1/2023

Document Language:

English

Document ID (Org No.):

2001389597

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 Retina disorders are among the common types of eye disease that occur due to several reasons such as aging, diabetes and premature born. Besides, Optical Coherence Tomography (OCT) is a medical imaging method that serves as a vehicle for capturing volumetric scans of the human eye retina for diagnoses purposes. This research compared two pretraining approaches including Self-Supervised Learning (SSL) and Transfer Learning (TL) to train ResNet34 neural architecture aiming at building computer aided diagnoses tool for retina disorders recognition. In addition, the research methodology employs convolutional auto-encoder model as a generative SSL pretraining method. The research efforts are implemented on a dataset that contains 109,309 retina OCT images with three medical conditions including Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME), DRUSEN as well as NORMAL condition. The research outcomes showed better performance in terms of overall accuracy, sensitivity and specificity, namely, 95.2%, 95.2% and 98.4% respectively for SSL ResNet34 in comparison to scores of 90.7%, 90.7% and 96.9% respectively for TL ResNet34. In addition, SSL pretraining approach showed significant reduction in the number of epochs required for training in comparison to both TL pretraining as well as the previous research performed on the same dataset with comparable performance.

Article Details

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Authors:

Saeed Shurrab | Yazan Shannak | Rehab Duwairi

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.20 Issue 3, pp.357-367

Document Type:

Article

Publication Date:

1/2023

Document Language:

English

Document ID (Org No.):

2001389597

pISSN:

2309-4524

DOI:

10.34028/iajit

OCT images

retina disorders

self-supervised learning

transfer learning

resnet34

Issues

Article Details

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Authors: Saeed Shurrab | Yazan Shannak | Rehab Duwairi

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.20 Issue 3, pp.357-367

Document Type: Article

Publication Date: 1/2023

Document Language: English

Document ID (Org No.): 2001389597

pISSN: 2309-4524

DOI: 10.34028/iajit

OCT images

retina disorders

self-supervised learning

transfer learning

resnet34

Issues

Authors:

Saeed Shurrab | Yazan Shannak | Rehab Duwairi

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.20 Issue 3, pp.357-367

Document Type:

Article

Publication Date:

1/2023

Document Language:

English

Document ID (Org No.):

2001389597

pISSN:

2309-4524

DOI:

10.34028/iajit