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A python package to read, analyse and visualize OCT and fundus data from various sources.
This project compares two learning paradigm, namely transfer-learning and self-supervised learning in a classification task of three retina disorders CNV, DME and DUSEN in addition to the normal condition using an OCT B-scans
Swin Transformer + Inception-ResNet = Improved Performance ✨ Evaluated on a Retinal OCT dataset.