Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images

no code implementations • 17 Jan 2023 • Parsa Delavari, Gulcenur Ozturan, Ozgur Yilmaz, Ipek Oruc

Here we propose a methodology for explainable classification of fundus images to uncover the mechanism(s) by which CNNs successfully predict the labels.

Image Segmentation Semantic Segmentation

Learning from few examples: Classifying sex from retinal images via deep learning

no code implementations • 20 Jul 2022 • Aaron Berk, Gulcenur Ozturan, Parsa Delavari, David Maberley, Özgür Yılmaz, Ipek Oruc

Here, we showcase results for the performance of DL on small datasets to classify patient sex from fundus images - a trait thought not to be present or quantifiable in fundus images until recently.

Binary Classification Domain Adaptation