2026
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
AAAI 2026technical
Radiology report generation from chest X-rays is an important task in artificial intelligence with the potential to greatly reduce radiologists
4 accepted papers
Radiology report generation from chest X-rays is an important task in artificial intelligence with the potential to greatly reduce radiologists
Real-world medical image segmentation has tremendous long-tailed complexity of objects, among which tail conditions correlate with relatively rare diseases and are clinically significant. A trustworthy medical AI algorithm should demonstrate its effectiveness on tail conditions to avoid clinically d…
As one of the most challenging and practical segmentation tasks, open-world semantic segmentation requires the model to segment the anomaly regions in the images and incrementally learn to segment out-of-distribution (OOD) objects, especially under a few-shot condition. The current state-of-the-art…
Unsupervised domain adaption has recently been used to reduce the domain shift, which would ultimately improve the performance of the semantic segmentation on unlabeled real-world data. In this paper, we follow the trend to propose a novel method to reduce the domain shift using strategies of discri…