Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Biomedical Engineering (issn: 0018-9294, eissn: 1558-2531,

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Authors: Abdolreza Rashno; Dara D. Koozekanani; Paul M. Drayna; Behzad Nazari; Saeed Sadri; Hossein Rabbani; Keshab K. Parhi;

doi: 10.1109/tbme.2017.2734058 , 10.5281/zenodo.1412985 , 10.5281/zenodo.1412984

pmid: 28783619

Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms

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Abstract

This paper presents a fully-automated algorithm to segment fluid-associated (fluid-filled) and cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic macular edema (DME).

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Keywords

Diabetic Retinopathy, Cysts, Image Interpretation, Computer-Assisted, Humans, Sensitivity and Specificity, Algorithms, Macular Edema, Retina, Tomography, Optical Coherence

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