Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation.

"the source code and anatomical models are available to other researchers1 1 https://adgilbert github io/data-generation/ data generation echocardiography generative adversarial networks segmentation synthesis i medical imaging provides a window to capture the structure and function of internal anatomies."

"the source code and anatomical models are available to other researchers1 1 https://adgilbert github io/data-generation/ data generation echocardiography generative adversarial networks segmentation synthesis i medical imaging provides a window to capture the structure and function of internal anatomies."

"This work was supported by the European Union’s Horizon 2020 research and Innovation program under the Marie Sklodowska-Curie under Grant 764738. The work of Pablo Lamata was supported by the Wellcome Trust Senior Research Fellowship under Grant 209450/Z/17/Z."