Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

no code implementations • 2 Feb 2021 • Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan Turaga

In addition to these findings, our work also presents a new application of the OS regularizer in healthcare, increasing the post-hoc interpretability and performance of deep learning models for COVID-19 classification to facilitate adoption of these methods in clinical settings.

Classification Data Augmentation +1