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This repository contains the software developed for our 2020 publication to Journal of Clinical Medicine, on the topic of "Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography"

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RViMLab/JCM2020-Non-Perfusion-Segmentation

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JCM2020-Non-Perfusion-Segmentation

Segmentation of capillary non-perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography. The methods are described in Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography.

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References

[1] Nunez do Rio JM, Sen P, Rasheed R, Bagchi A, Nicholson L, Dubis AM, Bergeles C, Sivaprasad S. Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography. Journal of Clinical Medicine. 2020 Aug;9(8):2537.

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This repository contains the software developed for our 2020 publication to Journal of Clinical Medicine, on the topic of "Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography"

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