Digital processing of fluorimetry imaging of deep layers in the macula of the retina in diabetic macular edema

Yaroslav Penishkevich; Sergey Yermolenko; Dmitry Burkovets

doi:10.1117/12.2568418

21 August 2020 Digital processing of fluorimetry imaging of deep layers in the macula of the retina in diabetic macular edema

Yaroslav Penishkevich, Sergey Yermolenko, Dmitry Burkovets

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Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 115102P (2020) https://doi.org/10.1117/12.2568418
Event: SPIE Optical Engineering + Applications, 2020, Online Only

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Abstract

The method of vascular segmentation is considered as one of the main approaches to the creation of automated retinal analysis tools. Improved retinal image analysis that can be used for segmented vascular tree to calculate vessel diameter and tortuosity, differentiation of veins and arteries together with measurement of arteriovenous ratio. The algorithm of segmentation of the retinal vessels based on fuzzy clustering of c-means and the method of setting the level is proposed. Morphological processes, CLAHE, and appropriate image filtering techniques were used to enhance the picture before fuzzy clustering of vascular pixels. A method of segmentation on publicly available datasets that uses common validation metrics in retinal vessel segmentation is proposed.

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Yaroslav Penishkevich, Sergey Yermolenko, and Dmitry Burkovets "Digital processing of fluorimetry imaging of deep layers in the macula of the retina in diabetic macular edema", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115102P (21 August 2020); https://doi.org/10.1117/12.2568418

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