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Content Provider | IET Digital Library |
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Author | P., Geetha Pavani Biswal, Birendra Sairam, M. V. S. Biswal, Pradyut Kumar |
Abstract | In this article, an exclusive‐disjunction‐based detection of neovascularisation (NV), which is the formation of new blood vessels on the retinal surfaces, is presented. These vessels, being thin and fragile, get ruptured easily leading to permanent blindness. The proposed algorithm consists of two stages. In the first stage, the retinal images are classified into non‐NV and NV using multi‐scale convolutional neural network, while in the second stage, 13 relevant features are extracted from the vascular map of NV images to achieve the pixel locations of new blood vessels using a directional matched filter along with the Difference of Laplacian of Gaussian operator followed by an exclusive disjunction function with adaptive thresholding of the vascular map. At the same time, the pixel locations of optic disc (OD) are detected using intensity distribution and variations on the retinal images. Finally, the pixel locations of both new blood vessels and OD are compared for classification. If the pixel locations of new blood vessels fall inside the OD, they are labelled as NV on OD, else they are labelled as NV elsewhere. The proposed algorithm has achieved an accuracy of 99.5%, specificity of 97.5%, sensitivity of 98.9%, and area under the curve of 94.2% when tested on 155 non‐NV and 115 NV images. The authors express their gratitude to the Department of Science and Technology, India, for granting this work under the Extramural Research (EMR) Funding Scheme of the Science and Engineering Research Board under Grant EMR/2017/000885. The authors also thank Dr. U.S.N. Murthy, Head of Opthamalogy Department, Gayatri Vidya Parishad Institute of Health Care and Medical Technology, for helping to label the dataset and also to evaluate their algorithm. |
Starting Page | 1518 |
Ending Page | 1529 |
Page Count | 12 |
Volume Number | 15 |
e-ISSN | 17519667 |
Issue Number | Issue 7, May (2021) |
Alternate Webpage(s) | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ipr2.12122 |
Alternate Webpage(s) | https://ietresearch.onlinelibrary.wiley.com/toc/17519667/2021/15/7 |
Journal | IET Image Processing |
Publisher Date | 2021-01-03 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Content Type | Text |
Resource Type | Article |
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