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README.md
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language:
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- en
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size_categories:
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configs:
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- config_name: default
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data_files:
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## Data Overview
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<img src="./images/PortPy_Data_Curation.png"
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PortPy equips researchers with a robust benchmark patient dataset, sourced from the FDA-approved Eclipse commercial treatment planning system through its API. This dataset embodies all necessary elements for optimizing various machine configurations such as beam angles, aperture shapes, and leaf movements. It includes
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- Large datasets (e.g., dose influence matrices) are stored in `.h5` (HDF5) files.
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A typical output folder structure for a patient
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```
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│
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├── Beams/
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│ ├── Beam_0_MetaData.json
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│ ├── Beam_0_Data.h5
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│ ├── Beam_1_MetaData.json
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│ ├── Beam_1_Data.h5
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├── CT_Data.h5
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├── CT_MetaData.json
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└── StructureSet_MetaData.json
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└── StructureSet_Data.h5
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```
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#### Example JSON and HDF5 Files
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##### Beam_0_metadata.json
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language:
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- en
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size_categories:
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- n>1T
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configs:
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- config_name: default
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data_files:
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## Data Overview
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<img src="./images/PortPy_Data_Curation.png" width="70%" height="50%">
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PortPy equips researchers with a robust benchmark patient dataset, sourced from the FDA-approved Eclipse commercial treatment planning system through its API. This dataset embodies all necessary elements for optimizing various machine configurations such as beam angles, aperture shapes, and leaf movements. It includes
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- Large datasets (e.g., dose influence matrices) are stored in `.h5` (HDF5) files.
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A typical output folder structure for a patient is shown Figure on the right:
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<img src="./images/PortPy_Directory.png" align="right" width="40%" height="70%">
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#### Example JSON and HDF5 Files
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##### Beam_0_metadata.json
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