2 papers
eess.IV2023
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
Ethan Dack, Lorenzo Brigato, Matthew McMurray +9
The pandemic resulted in vast repositories of unstructured data, including radiology reports, due to increased medical examinations. Previous research on automated diagnosis of COV…
cs.CV2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Lorenzo Brigato, Stavroula Mougiakakou
Solving image classification tasks given small training datasets remains an open challenge for modern computer vision. Aggressive data augmentation and generative models are among…