4 papers
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…
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…
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…
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation
Yan Di, Chenyangguang Zhang, Chaowei Wang +6
In this paper, we present ShapeMatcher, a unified self-supervised learning framework for joint shape canonicalization, segmentation, retrieval and deformation. Given a partially-ob…