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Found 3 papers, 2 papers with code
Attribute Based Interpretable Evaluation Metrics for Generative Models
In this context, we propose a new evaluation protocol that measures the divergence of a set of generated images from the training set regarding the distribution of attribute strengths as follows.
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more relatively rare conditions.
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification
Our success in the task underscores the significance of considering multi-view settings, class imbalance, and label co-occurrence in medical image classification.
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