SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation

Multi-organ medical image segmentation is crucial for diagnosis and treatment planning. However, many methods including variability in different factors complicate the task, target categories and interference from complex backgrounds.