Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity. (arXiv:2210.09558v1 [eess.IV])

Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optical
coherence tomography angiography (UW-OCTA) has been used in clinical practices
to detect signs of early DR. However, developing a deep learning-based DR
analysis system using UW-OCTA images is not trivial due to the difficulty of
data collection and the absence of public datasets. By realistic constraints, a
model trained on small datasets may obtain sub-par performance. Therefore, to
help ophthalmologists be less confused about models' incorrect decisions, the
models should be robust …

analysis arxiv bag data framework tricks