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Data · dataset · 2026

OmniMedSeg-XRay

Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/rhkq65718b27nc96

Description

This dataset contains 7 converted XRay datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. ARCADE: Creative Commons Zero v1.0 Universal BTXRD: CC-BY 4.0 COVID19_CXR: Each image has license specified here: github.com/GeneralBlockchain/covid-19-chest-xray-segmentations-dataset HIPBONE: CC-BY 4.0 PANDENTAL: CC-BY 4.0 PTX_498: CC-BY 4.0 TEETH_SEG: CC0 1.0 ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] ARCADE ---------------------------------------- License: Creative Commons Zero v1.0 Universal Dataset link: zenodo.org/records/10390295 Metadata file: XRay/ARCADE/metadata.json Citation (bibtex): @article{popov2024dataset, title={Dataset for automatic region-based coronary artery disease diagnostics using X-ray angiography images}, author={Popov, Maxim and Amanturdieva, Akmaral and Zhaksylyk, Nuren and Alkanov, Alsabir and Saniyazbekov, Adilbek and Aimyshev, Temirgali and Ismailov, Eldar and Bulegenov, Ablay and Kuzhukeyev, Arystan and Kulanbayeva, Aizhan and others}, journal={Scientific data}, volume={11}, number={1}, pages={20}, year={2024}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [2] BTXRD ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/dataset/A_Radiograph_Dataset_for_the_Classification_Localization_and_Segmentation_of_Primary_Bone_Tumors/27865398?file=50653575 Metadata file: XRay/BTXRD/metadata.json Citation (bibtex): @article{Yao2024, author = "Shunhan Yao and Yuanxiang Huang and Xiaoyu Wang and Yiwen Zhang and Ian Costa Paixao and Zhikang Wang and Charla Lu Chai and Hongtao Wang and Dinggui Lu and Geoffrey I Webb and ShanShan Li and Yuming Guo and Qingfeng Chen and Jiangning Song", title = "{A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors}", year = "2024", month = "11", url = "figshare.com/articles/dataset/A_Radiograph_Dataset_for_the_Classification_Localization_and_Segmentation_of_Primary_Bone_Tumors/27865398", doi = "10.6084/m9.figshare.27865398.v1" } ---------------------------------------- [3] COVID19_CXR ---------------------------------------- License: Each image has license specified here: github.com/GeneralBlockchain/covid-19-chest-xray-segmentations-dataset/blob/master/metadata.csv .

Including Apache 2.0, CC BY-NC-SA 4.0, CC BY 4.0. Dataset link: github.com/GeneralBlockchain/covid-19-chest-xray-segmentations-dataset Metadata file: XRay/COVID19_CXR/metadata.json Citation (bibtex): @article{cohen2020covidProspective, title={COVID-19 Image Data Collection: Prospective Predictions Are the Future}, author={Joseph Paul Cohen and Paul Morrison and Lan Dao and Karsten Roth and Tim Q Duong and Marzyeh Ghassemi}, journal={arXiv 2006.11988}, url={github.com/ieee8023/covid-chestxray-dataset}, year={2020} } ---------------------------------------- [5] HIPBONE ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/zm6bxzhmfz/1 Metadata file: XRay/HIPBONE/metadata.json Citation (bibtex): @misc{Gut_2021, author = {Daniel Gut}, title = {X-ray images of the hip joints}, year = {2021}, publisher = {Mendeley Data}, version = {V1}, doi = {10.17632/zm6bxzhmfz.1}, url = {data.mendeley.com/datasets/zm6bxzhmfz/1} } ---------------------------------------- [6] PANDENTAL ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/hxt48yk462/1 Metadata file: XRay/PANDENTAL/metadata.json Citation (bibtex): @article{abdi2015automatic, title={Automatic segmentation of mandible in panoramic x-ray}, author={Abdi, Amir Hossein and Kasaei, Shohreh and Mehdizadeh, Mojdeh}, journal={Journal of Medical Imaging}, volume={2}, number={4}, pages={044003--044003}, year={2015}, publisher={Society of Photo-Optical Instrumentation Engineers} } ---------------------------------------- [7] PTX_498 ---------------------------------------- License: CC-BY 4.0 Dataset link: zenodo.org/records/8266529 Metadata file: XRay/PTX_498/metadata.json Citation (bibtex): @article{wang2021deepsdm, title={DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images}, author={Wang, Yunpeng and Wang, Kang and Peng, Xueqing and Shi, Lili and Sun, Jing and Zheng, Shibao and Shan, Fei and Shi, Weiya and Liu, Lei}, journal={Neurocomputing}, volume={454}, pages={201--211}, year={2021}, publisher={Elsevier} } ---------------------------------------- [8] TEETH_SEG ---------------------------------------- License: CC0 1.0 Dataset link: kaggle.com/datasets/humansintheloop/teeth-segmentation-on-dental-x-ray-images Metadata file: XRay/TEETH_SEG/metadata.json Citation (bibtex): @misc{humans_in_the_loop_2023, title={Teeth Segmentation on dental X-ray images}, url={kaggle.com/dsv/5884500}, DOI={10.34740/KAGGLE/DSV/5884500}, publisher={Kaggle}, author={Humans In The Loop}, year={2023} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Image 75% · Imaging 75%
Provenance · 2 source records, 12 field assertions
SourceKeyLast seenRaw
RADAR10.35097/rhkq65718b27nc9613 d agoJSON v1
RADAR4Memory10.35097/rhkq65718b27nc9613 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[disease].local:disease:diseaseenrichment · radar service eu dekeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:computer-science-aimapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:computer-science-aimapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[modality].local:modality:imageenrichment · radar service eu dekeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imagingenrichment · radar service eu dekeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/description
licensesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/rights
publication_datesource · radar service eu deconnector:radar_service_eu_de@1.0.0
titlesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/title