The author proposes YOLO-Med, an efficient multi-task network for object detection and semantic segmentation in biomedical images. The approach integrates cross-scale features and task-specific decoders to balance accuracy and speed effectively.
Efficient multi-task network YOLO-Med balances accuracy and speed for object detection and semantic segmentation in biomedical images.