Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

@inproceedings{Alansary2018AutomaticVP,
  title={Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents},
  author={Amir Alansary and Lo{\"i}c Le Folgoc and Ghislain Vaillant and Ozan Oktay and Yuanwei Li and Wenjia Bai and Jonathan Passerat-Palmbach and Ricardo Guerrero and Konstantinos Kamnitsas and Benjamin Hou and Steven G. McDonagh and Ben Glocker and Bernhard Kainz and Daniel Rueckert},
  booktitle={MICCAI},
  year={2018}
}
We propose a fully automatic method to find standardized view planes in 3D image acquisitions. Standard view images are important in clinical practice as they provide a means to perform biometric measurements from similar anatomical regions. These views are often constrained to the native orientation of a 3D image acquisition. Navigating through target anatomy to find the required view plane is tedious and operator-dependent. For this task, we employ a multi-scale reinforcement learning (RL… 

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