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README.md
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This is a modified version of [data](https://figshare.com/s/37ec464af8e81ae6ebbf) for the paper:
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[Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms](https://doi.org/10.1038/srep33581)
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- 400 head and neck X-ray scans and 19 landmarks for each image
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- We saved the original 2D `.bmp` images into pseudo 3D `.nii.gz` files in a manner that the original
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2D sagittal slices can be extracted from the 3D NIfTI files correctly assuming the standard RAS+
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orientation of `.nii.gz` files. A pseudo voxel size [0.1, 0.1, 0.1] is set in the NIfTI header,
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This is a modified version of [data](https://figshare.com/s/37ec464af8e81ae6ebbf) for the paper:
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[Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms](https://doi.org/10.1038/srep33581)
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**Dataset Summary:**
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- 400 head and neck X-ray scans and 19 landmarks for each image
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**What's new?**
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- We saved the original 2D `.bmp` images into pseudo 3D `.nii.gz` files in a manner that the original
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2D sagittal slices can be extracted from the 3D NIfTI files correctly assuming the standard RAS+
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orientation of `.nii.gz` files. A pseudo voxel size [0.1, 0.1, 0.1] is set in the NIfTI header,
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