Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.

•We devise a self-attention mechanism with spatial and channel attention modules.•The non-local block is employed to learn high-order semantic context cues.•The weighted up-sampling block is developed in the decoder path.•The co-attention module is introduced to consider segmentation coherence.