Abstract
Distinguishing true retinal area from artefacts in SLO images is a challenging task, which is the first important step towards computer-aided disease diagnosis. In this paper, we have developed a new method based on superpixel feature analysis and classification approaches for determination of retinal area scanned by Scanning Laser Ophthalmoscope(SLO). Our prototype has achieved the accuracy of 90% on healthy as well as diseased retinal images. To the best of our knowledge, this is the first work on retinal area detection in SLO images.
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Haleem, M.S., Han, L., van Hemert, J., Li, B., Fleming, A. (2014). Superpixel Based Retinal Area Detection in SLO Images. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_31
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DOI: https://doi.org/10.1007/978-3-319-11331-9_31
Publisher Name: Springer, Cham
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