YOLO-MED : Multi-Task Interaction Network for Biomedical Images

arXiv:2403.00245v1 Announce Type: new
Abstract: Object detection and semantic segmentation are pivotal components in biomedical image analysis. Current single-task networks exhibit promising outcomes in both detection and segmentation tasks. Multi-task networks have gained prominence due to their capability to simultaneously tackle segmentation and detection tasks, while also accelerating the segmentation inference. Nevertheless, recent multi-task networks confront distinct limitations such as the difficulty in striking a balance between accuracy and inference speed. Additionally, they often overlook the integration of cross-scale features, …

abstract analysis arxiv biomedical capability components cs.cv current detection image images inference network networks pivotal segmentation semantic tasks type yolo