3 papers
cs.CV2026
Noise-Aware Visual Representation Learning for Medical Visual Question Answering
I Putu Adi Pratama, Bahadorreza Ofoghi, Atul Sajjanhar +1
Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant quer…
cs.CV2025
GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
Jun Ding, Shang Gao
Accurate segmentation of heterogeneous anatomical structures is pivotal for computer-aided diagnosis and subsequent clinical decision-making. Although U-Net based convolutional neu…
cs.CV2025
GCA-ResUNet:Image segmentation in medical images using grouped coordinate attention
Jun Ding, Shang Gao
Medical image segmentation underpins computer-aided diagnosis and therapy by supporting clinical diagnosis, preoperative planning, and disease monitoring. While U-Net style convolu…