QaTa-COV-19

The 'QaTa-COV19' dataset/benchmark contains medical images and associated textual descriptions used to evaluate the performance of multimodal vision-language models in medical image segmentation tasks.

Papers using QaTa-COV-19 (3)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging2026BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentation2026Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation2025