Fig. 1. Overview of the proposed method.

The idea is to compute convolutional features over multiple scales, weight features by their importance, and combine and mix scale features to capture contextual information as well as the detailed echotexture, while enhancing the architectural efficiency to prevent overfitting. The proposed convolutional layer is integrated into the U-Net architecture for ultrasonography image segmentation.