no code implementations • 24 Mar 2023 • S. A. Rizvi, R. Tang, X. Jiang, X. Ma, X. Hu
The proliferation of Deep Learning (DL)-based methods for radiographic image analysis has created a great demand for expert-labeled radiology data.
1 code implementation • 6 Jul 2022 • S. A. Rizvi, P. Cicalese, S. V. Seshan, S. Sciascia, J. U. Becker, H. V. Nguyen
Self-supervised learning (SSL) methods are enabling an increasing number of deep learning models to be trained on image datasets in domains where labels are difficult to obtain.