Comments (1)
Hey Sky Kim,
I am glad you have found our work inspiring. The data for the view planning example can be a bit tricky. You would need the list of the filenames for your training and testing, and there should be a corresponding list of the ground truth planes. In the mid-sagittal case, the plane can be extracted using standard anatomical landmarks. You may need to modify this part of the code to work with the data you will be running the code on.
Best, Amir
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Related Issues (20)
- too slow training speed HOT 5
- dataset HOT 3
- 'function' object has no attribute 'symbolic_function' HOT 2
- DQN.py training demo code error HOT 2
- How to resume old training
- A Question about medical.py HOT 1
- About the success ratio for Automatic View Planning HOT 1
- How to get corresponding landmarks of ADNI dataset HOT 1
- multi-agent landmark detection HOT 11
- about ADNI dataset HOT 2
- Hi, where can I download the cardiac MRI dataset and the fetal brain ultrasound MRI HOT 1
- how can I get the cardiac dataset in this project? HOT 7
- About 2D model HOT 1
- Help
- Improve accuracy
- References to AtariPlayer in expreplay.py HOT 1
- Modifying DQN model to accept 3D images HOT 13
- Models HOT 1
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from rl-medical.