Intraoperative organ motion models with an ensemble of conditional generative adversarial networks
In this paper, we describe how a patient-specific, ultrasound-probe-induced prostate motion model can be directly generated from a single preoperative MR image. Our motion model allows for sampling from the conditional distribution of dense displacement fields, is encoded by a generative neural netw...
| Главные авторы: | , , , , , , , |
|---|---|
| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Springer
2017
|