Paper

Ultrasound segmentation using U-Net: learning from simulated data and testing on real data

Segmentation of ultrasound images is an essential task in both diagnosis and image-guided interventions given the ease-of-use and low cost of this imaging modality. As manual segmentation is tedious and time consuming, a growing body of research has focused on the development of automatic segmentation algorithms... (read more)

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