| # CheXmask Database v1.0.1 |
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| A comprehensive collection of anatomical segmentation masks for chest radiographs derived from five major public databases. |
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| ## Overview |
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| The CheXmask Database provides 657,566 anatomical segmentation masks generated from chest radiographs across multiple public databases: |
| - ChestX-ray8 |
| - Chexpert |
| - MIMIC-CXR-JPG |
| - Padchest |
| - VinDr-CXR |
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| All segmentation masks were generated using the HybridGNet model and include quality metrics based on Reverse Classification Accuracy (RCA) scores. |
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| ## Dataset Structure |
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| The dataset consists of CSV files for each source database. Each CSV contains: |
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| | Column Name | Description | |
| |------------|-------------| |
| | Image ID | Reference to original image in source dataset | |
| | Dice RCA (Max) | Maximum Dice Similarity Coefficient for RCA | |
| | Dice RCA (Mean) | Mean Dice Similarity Coefficient for RCA | |
| | Landmarks | Organ contour points from HybridGNet model | |
| | Left Lung | Left lung segmentation mask in RLE format | |
| | Right Lung | Right lung segmentation mask in RLE format | |
| | Heart | Heart segmentation mask in RLE format | |
| | Height | Height of segmentation mask | |
| | Width | Width of segmentation mask | |
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| ## Data Processing |
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| All images were processed to maintain consistent quality: |
| 1. Images were preprocessed to 1024x1024 resolution |
| 2. HybridGNet model was applied for segmentation |
| 3. Masks were restored to original image dimensions |
| 4. RCA scores were calculated for quality assessment |
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| ## Usage Guidelines |
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| 1. **Source Images**: Users must obtain source images from original databases and comply with their respective requirements (ethics courses, training, etc.). |
| 2. **Quality Threshold**: For analysis, use only segmentation masks with Dice RCA (Mean) >= 0.7 |
| 3. **Resolution**: Pre-processed versions (1024x1024) of masks are included for consistent resolution across datasets |
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| ## Version History |
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| ### v1.0.0 |
| - Updated citation |
| - Added README file |
| - Added Data Dictionary |
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| ## Citation |
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| When using this dataset, please cite: |
| Gaggion, N., Mosquera, C., Mansilla, L. et al. CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. Sci Data 11, 511 (2024). https://doi.org/10.1038/s41597-024-03358-1 |
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