research
∙
07/14/2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
Classification of heterogeneous diseases is challenging due to their com...
share
research
∙
01/25/2023
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification
Active Learning (AL) aims to reduce the labeling burden by interactively...
research
∙
01/05/2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization
Unsupervised anomaly detection in medical imaging aims to detect and loc...
research
∙
11/28/2022
