Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis

Ethan Dack, Lorenzo Brigato, Vasilis Dedousis +9

Masked autoencoders (MAEs) have emerged as a powerful approach for pre-training on unlabelled data, capable of learning robust and informative feature representations. This is part…