A modern tool for age-related macular degeneration (AMD) investigation is Optical Coherence Tomography (OCT) that can produce high resolution cross-sectional images about retinal layers. AMD is one of the most frequent reasons of blindness in economically advanced countries. AMD means degeneration of the macula which is responsible for central vision. Since AMD affects only this specific part of the retina, unattended patients lose their fine shape- and face recognition, reading ability, and central vision. We present a novel algorithm to localize subretinal fluid and cyst segments and extract quantitative measures thereof. Since, these algorithms are fully automated, the doctor does not need to perform extremely time-consuming manual contouring and human inaccuracies can be also eliminated.
CITATION STYLE
Katona, M., Kovács, A., Dégi, R., & Nyúl, L. G. (2017). Automatic detection of subretinal fluid and cyst in retinal images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10484 LNCS, pp. 606–616). Springer Verlag. https://doi.org/10.1007/978-3-319-68560-1_54
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