H. T. Huynh

MGT–UNet: a hybrid CNN–transformer network with multi-scale feature learning and global context modeling for breast ultrasound segmentation

This work proposes MGT–UNet, a hybrid CNN–Transformer segmentation network that integrates multi-scale feature learning with global context modeling for breast ultrasound image segmentation and suggests that combining multi-scale feature learning with transformer-based global context modeling is beneficial for breast u...