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README.md
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@@ -32,6 +32,8 @@ This dataset is connected to the [GDP-HMM challenge](https://github.com/RiqiangG
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By downloading the dataset before the end of GDP-HMM challenge (May 2025), you are agreed to participate Phase I through III of the challenge and need to register the [challenge](https://qtim-challenges.southcentralus.cloudapp.azure.com/competitions/38) first under "My Submissions" of the platform.
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## Dataset
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In total, there are over 3500 RT plans included in the challenge covering head-and-neck and lung sites and IMRT & VMAT planning modes. There are three splits for the dataset.
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By downloading the dataset before the end of GDP-HMM challenge (May 2025), you are agreed to participate Phase I through III of the challenge and need to register the [challenge](https://qtim-challenges.southcentralus.cloudapp.azure.com/competitions/38) first under "My Submissions" of the platform.
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This repo provides the data with Numpy format which can be directly used with our GitHub baseline. For raw DICOM format, please visit [Radiotherapy_HaN_Lung_AIRTP](https://huggingface.co/datasets/Jungle15/Radiotherapy_HaN_Lung_AIRTP).
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## Dataset
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In total, there are over 3500 RT plans included in the challenge covering head-and-neck and lung sites and IMRT & VMAT planning modes. There are three splits for the dataset.
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