Path string | Dice RCA (Mean) float64 | Dice RCA (Max) float64 | Landmarks string | Left Lung string | Right Lung string | Heart string | Height int64 | Width int64 |
|---|---|---|---|---|---|---|---|---|
train/patient40255/study2/view1_frontal.jpg | 0.864037 | 0.906135 | [[ 950 268]
[ 881 279]
[ 806 323]
[ 721 378]
[ 652 439]
[ 599 511]
[ 550 586]
[ 505 649]
[ 472 724]
[ 447 801]
[ 425 876]
[ 406 953]
[ 395 1027]
[ 381 1105]
[ 359 1179]
[ 342 1257]
[ 334 1328]
[ 323 1403]
[ 307 1480]
[ 290 1552]
[ 279 1624]
[ 290 1690]
[ 334 1616]
[ 398 1541]
[ 481 1... | 830109 9 832934 26 835759 44 838584 61 841408 79 844233 91 847058 96 849883 101 852708 107 855533 112 858358 117 861182 124 864007 129 866832 134 869657 140 872482 145 875307 150 878132 156 880956 162 883781 167 886606 173 889431 178 892257 182 895084 185 897911 189 900738 192 903565 195 906393 198 909220 201 912047 20... | 758852 5 761674 14 764496 24 767318 33 770139 43 772961 53 775783 62 778604 72 781426 82 784248 91 787070 100 789894 108 792720 113 795546 118 798373 123 801199 128 804025 133 806851 139 809678 143 812504 148 815330 154 818157 158 820983 163 823809 169 826635 174 829462 177 832288 180 835114 182 837941 184 840767 187 8... | 2586143 10 2588952 31 2591760 53 2594510 132 2597334 138 2600158 144 2602983 148 2605807 154 2608631 159 2611455 165 2614280 170 2617104 175 2619928 181 2622753 186 2625577 191 2628401 197 2631225 203 2634050 207 2636874 213 2639698 219 2642523 223 2645349 227 2648175 230 2651001 234 2653826 239 2656652 242 2659478 246... | 2,320 | 2,828 |
train/patient40255/study1/view1_frontal.jpg | 0.881892 | 0.931429 | [[ 983 285]
[ 887 304]
[ 784 367]
[ 679 447]
[ 599 541]
[ 536 644]
[ 494 749]
[ 469 842]
[ 450 945]
[ 436 1047]
[ 434 1152]
[ 428 1254]
[ 428 1348]
[ 434 1450]
[ 428 1552]
[ 434 1660]
[ 434 1762]
[ 428 1867]
[ 425 1969]
[ 425 2063]
[ 431 2165]
[ 450 2259]
[ 492 2163]
[ 550 2052]
[ 621 1... | 728454 10 731266 29 734077 50 736888 70 739700 89 742519 101 745345 107 748172 111 750998 116 753825 120 756651 126 759478 130 762304 135 765130 140 767957 145 770783 150 773610 154 776436 159 779263 164 782089 169 784916 173 787742 178 790569 183 793395 188 796222 192 799048 197 801875 202 804701 207 807527 211 810354... | 806962 5 809785 15 812608 25 815431 35 818254 45 821077 55 823900 65 826723 75 829546 85 832369 95 835191 106 838014 117 840837 127 843660 137 846483 147 849306 157 852129 167 854952 177 857775 187 860600 195 863426 202 866252 209 869079 213 871905 216 874732 218 877558 221 880384 224 883211 226 886037 228 888863 231 8... | 2976451 20 2976600 14 2979267 59 2979403 41 2982083 97 2982206 68 2984898 206 2987714 220 2990530 234 2993349 245 2996173 251 2998997 257 3001820 264 3004644 270 3007468 276 3010291 283 3013115 289 3015939 295 3018763 301 3021586 308 3024410 314 3027234 320 3030057 327 3032881 333 3035705 339 3038530 344 3041356 348 30... | 2,320 | 2,828 |
train/patient40255/study3/view1_frontal.jpg | 0.812861 | 0.835841 | [[1323 365]
[1234 376]
[1141 428]
[1055 494]
[ 980 561]
[ 922 646]
[ 878 726]
[ 834 801]
[ 804 881]
[ 787 961]
[ 773 1038]
[ 754 1119]
[ 735 1193]
[ 721 1282]
[ 690 1362]
[ 666 1444]
[ 655 1519]
[ 641 1599]
[ 627 1685]
[ 610 1759]
[ 605 1845]
[ 621 1928]
[ 674 1848]
[ 735 1762]
[ 812 1... | 1025622 6 1028448 16 1031274 26 1034099 37 1036925 47 1039751 57 1042576 68 1045402 78 1048228 84 1051053 89 1053879 92 1056705 96 1059530 100 1062356 104 1065182 107 1068007 112 1070833 115 1073659 119 1076484 123 1079310 127 1082136 130 1084961 135 1087787 138 1090613 142 1093438 146 1096264 150 1099090 153 1101916 1... | 1033540 6 1036360 17 1039180 29 1042000 40 1044820 51 1047640 62 1050460 74 1053280 85 1056100 96 1058920 107 1061740 118 1064563 127 1067389 132 1070215 137 1073041 142 1075867 148 1078694 152 1081520 157 1084346 162 1087172 168 1089999 172 1092825 177 1095651 182 1098477 187 1101303 193 1104130 197 1106956 202 110978... | 2962494 15 2965312 44 2968129 74 2970946 103 2973764 132 2976581 160 2979398 187 2982216 213 2985038 234 2987864 252 2990690 270 2993516 358 2996342 362 2999168 366 3001994 370 3004820 373 3007646 377 3010472 381 3013298 384 3016124 388 3018950 392 3021776 396 3024602 399 3027428 403 3030254 407 3033080 411 3035906 414... | 2,320 | 2,828 |
train/patient34954/study2/view1_frontal.jpg | 0.8463 | 0.866827 | "[[1118 332]\n [1043 346]\n [ 956 404]\n [ 864 485]\n [ 780 586]\n [ 702 696]\n [ 633 811]\n (...TRUNCATED) | "939770 5 942724 14 945677 25 948631 34 951585 43 954538 54 957492 63 960446 73 963400 82 966353 93 (...TRUNCATED) | "983505 4 986458 12 989412 19 992366 26 995319 34 998273 41 1001227 48 1004180 56 1007134 63 1010088(...TRUNCATED) | "3581832 78 3584787 107 3587743 135 3590699 160 3593654 182 3596610 203 3599565 217 3602521 221 3605(...TRUNCATED) | 2,720 | 2,959 |
train/patient34954/study1/view1_frontal.jpg | 0.85748 | 0.887031 | "[[1199 256]\n [1104 279]\n [1003 349]\n [ 896 444]\n [ 800 551]\n [ 725 664]\n [ 659 785]\n (...TRUNCATED) | "700236 4 703190 12 706144 21 709098 29 712052 37 715007 44 717961 53 720915 61 723869 69 726823 77 (...TRUNCATED) | "758702 4 761657 12 764612 20 767567 28 770522 36 773477 43 776432 51 779387 59 782341 68 785296 76 (...TRUNCATED) | "3546564 20 3549493 58 3552421 97 3555361 125 3558313 140 3561265 155 3564217 171 3567169 186 357012(...TRUNCATED) | 2,800 | 2,959 |
train/patient34954/study3/view1_frontal.jpg | 0.868597 | 0.886992 | "[[1344 505]\n [1250 521]\n [1156 590]\n [1058 675]\n [ 970 772]\n [ 895 882]\n [ 835 992]\n (...TRUNCATED) | "1474992 9 1478192 28 1481392 48 1484592 67 1487792 86 1490992 105 1494200 116 1497414 122 1500629 1(...TRUNCATED) | "1625423 4 1628633 13 1631843 23 1635053 32 1638263 41 1641473 50 1644683 60 1647893 69 1651104 77 1(...TRUNCATED) | "4262905 18 4266113 52 4269320 87 4272527 115 4275735 134 4278942 153 4282149 173 4285357 192 428856(...TRUNCATED) | 2,800 | 3,216 |
train/patient17605/study2/view1_frontal.jpg | 0.852767 | 0.897713 | "[[1036 17]\n [ 939 30]\n [ 842 72]\n [ 746 130]\n [ 671 196]\n [ 619 268]\n [ 569 343]\n (...TRUNCATED) | "32853 7 35673 21 38492 36 41312 49 44131 64 46951 78 49770 93 52589 107 55409 121 58228 136 61048 1(...TRUNCATED) | "49110 6 51930 19 54751 31 57571 44 60392 56 63212 69 66033 81 68854 93 71674 106 74495 118 77315 13(...TRUNCATED) | "2031938 101 2034759 109 2037579 119 2040400 127 2043221 135 2046042 144 2048862 153 2051683 161 205(...TRUNCATED) | 2,320 | 2,828 |
train/patient17605/study1/view1_frontal.jpg | 0.845718 | 0.873965 | "[[1174 243]\n [1085 249]\n [ 989 285]\n [ 892 334]\n [ 817 389]\n [ 765 456]\n [ 726 528]\n (...TRUNCATED) | "666450 12 669258 36 672067 60 674876 83 677684 107 680501 123 683327 129 686153 136 688979 142 6918(...TRUNCATED) | "688372 9 691185 28 693998 47 696812 65 699625 83 702438 102 705257 115 708083 121 710908 127 713733(...TRUNCATED) | "2608865 7 2611689 21 2614513 35 2617337 48 2620161 62 2622985 76 2625808 89 2628632 99 2631456 109 (...TRUNCATED) | 2,320 | 2,828 |
train/patient40308/study2/view1_frontal.jpg | 0.871249 | 0.886312 | "[[1074 312]\n [ 972 329]\n [ 873 381]\n [ 779 436]\n [ 693 497]\n [ 621 569]\n [ 572 638]\n (...TRUNCATED) | "830302 5 833126 15 835950 26 838774 36 841599 45 844423 56 847247 66 850072 76 852896 86 855720 97 (...TRUNCATED) | "883409 5 886231 16 889053 27 891875 39 894697 50 897519 61 900341 72 903163 83 905985 95 908807 106(...TRUNCATED) | "2501279 12 2504089 37 2506900 61 2509710 86 2512520 111 2515338 128 2518164 137 2520990 145 2523815(...TRUNCATED) | 2,320 | 2,828 |
train/patient40308/study1/view1_frontal.jpg | 0.822462 | 0.859925 | "[[1185 196]\n [1088 213]\n [ 989 271]\n [ 895 337]\n [ 815 406]\n [ 757 481]\n [ 715 563]\n (...TRUNCATED) | "657998 10 660811 29 663624 49 666436 69 669249 88 672062 108 674881 121 677707 128 680533 134 68335(...TRUNCATED) | "555472 5 558294 15 561116 25 563939 35 566761 45 569583 56 572405 66 575228 75 578050 86 580872 96 (...TRUNCATED) | "2837873 8 2840693 23 2843512 40 2846331 56 2849151 71 2851970 88 2854789 104 2857609 119 2860431 13(...TRUNCATED) | 2,320 | 2,828 |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
CheXmask Database v1.0.1
A comprehensive collection of anatomical segmentation masks for chest radiographs derived from five major public databases.
Overview
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
All segmentation masks were generated using the HybridGNet model and include quality metrics based on Reverse Classification Accuracy (RCA) scores.
Dataset Structure
The dataset consists of CSV files for each source database. Each CSV contains:
| 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 |
Data Processing
All images were processed to maintain consistent quality:
- Images were preprocessed to 1024x1024 resolution
- HybridGNet model was applied for segmentation
- Masks were restored to original image dimensions
- RCA scores were calculated for quality assessment
Usage Guidelines
- Source Images: Users must obtain source images from original databases and comply with their respective requirements (ethics courses, training, etc.).
- Quality Threshold: For analysis, use only segmentation masks with Dice RCA (Mean) >= 0.7
- Resolution: Pre-processed versions (1024x1024) of masks are included for consistent resolution across datasets
Version History
v1.0.0
- Updated citation
- Added README file
- Added Data Dictionary
Citation
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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