Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images
Joint Authors
Akram, M. Usman
Khalid, Samina
Hassan, Taimur
Nasim, Ammara
Jameel, Amina
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Maculopathy is the excessive damage to macula that leads to blindness.
It mostly occurs due to retinal edema (RE), central serous chorioretinopathy (CSCR), or age related macular degeneration (ARMD).
Optical coherence tomography (OCT) imaging is the latest eye testing technique that can detect these syndromes in early stages.
Many researchers have used OCT images to detect retinal abnormalities.
However, to the best of our knowledge, no research that presents a fully automated system to detect all of these macular syndromes is reported.
This paper presents the world’s first ever decision support system to automatically detect RE, CSCR, and ARMD retinal pathologies and healthy retina from OCT images.
The automated disease diagnosis in our proposed system is based on multilayered support vector machines (SVM) classifier trained on 40 labeled OCT scans (10 healthy, 10 RE, 10 CSCR, and 10 ARMD).
After training, SVM forms an accurate decision about the type of retinal pathology using 9 extracted features.
We have tested our proposed system on 2819 OCT scans (1437 healthy, 640 RE, and 742 CSCR) of 502 patients from two different datasets and our proposed system correctly diagnosed 2817/2819 subjects with the accuracy, sensitivity, and specificity ratings of 99.92%, 100%, and 99.86%, respectively.
American Psychological Association (APA)
Khalid, Samina& Akram, M. Usman& Hassan, Taimur& Nasim, Ammara& Jameel, Amina. 2017. Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images. BioMed Research International،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1138401
Modern Language Association (MLA)
Khalid, Samina…[et al.]. Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images. BioMed Research International No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1138401
American Medical Association (AMA)
Khalid, Samina& Akram, M. Usman& Hassan, Taimur& Nasim, Ammara& Jameel, Amina. Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1138401
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138401