Feature Fusion for Image Segmentation: Enhancing Performance by Combining Multi-Scale Features

Feature fusion is a crucial technique in enhancing segmentation performance [32-36] by combining features from various scales to compensate for any absent pixel values. This approach is widely used in image segmentation tasks, as it effectively addresses the challenge of missing pixel information, leading to more accurate and robust segmentation results.