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...
| 主要な著者: | , , , , , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Springer
2017
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