The ULS23 Challenge Public Training Dataset
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- data.niaid.nih.gov
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bin, zipUpdated Nov 29, 2023
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EmailClick to copy linkLink copiedCiteMax de Grauw; Max de Grauw; Natália Alves; Natália Alves; Megan Schuurmans; Megan Schuurmans; Henkjan Huisman; Henkjan Huisman; Bram van Ginneken; Bram van Ginneken; Alessa Hering; Alessa Hering (2023). The ULS23 Challenge Public Training Dataset [Dataset]. http://doi.org/10.5281/zenodo.10035161zip, binAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.10035161Dataset updatedNov 29, 2023AuthorsMax de Grauw; Max de Grauw; Natália Alves; Natália Alves; Megan Schuurmans; Megan Schuurmans; Henkjan Huisman; Henkjan Huisman; Bram van Ginneken; Bram van Ginneken; Alessa Hering; Alessa HeringLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionThis dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains the lesion volumes-of-interest (VOI's) for the novel annotated data of this challenge. It consists of 750 lesions from the DeepLesion dataset, 744 bone and 124 pancreas lesions from the Radboudumc. Pancreas data was collected by Natália Alves, Megan Schuurmans and Henkjan Huisman. The annotations are made available through the Challenge repository on GitHub.
The full training dataset:
- Part 2: kits21, LIDC-IDRI, LiTS
- Part 3: MDSC task 6/7/10, NIH-LN, CCC18
- Part 4: DeepLesion
- Part 5: DeepLesion
- Part 6: DeepLesion
The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0
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The ULS23 Challenge Public Training Dataset Part 6
- data.niaid.nih.gov
- zenodo.org
Updated Oct 31, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitede Grauw, Max; van Ginneken, Bram; Hering, Alessa (2023). The ULS23 Challenge Public Training Dataset Part 6 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10056234Dataset updatedOct 31, 2023Dataset provided byDepartment of Medical Imaging, Radboud University Medical Center, The NetherlandsAuthorsde Grauw, Max; van Ginneken, Bram; Hering, AlessaLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionThis dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains lesion volumes-of-interest (VOI's) for part of the weakly annotated DeepLesion data. The annotations are made available through the Challenge repository on GitHub.The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0
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The ULS23 Challenge Public Training Dataset Part 4
- nde-dev.biothings.io
- data.niaid.nih.gov
Updated Oct 30, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCitede Grauw, Max (2023). The ULS23 Challenge Public Training Dataset Part 4 [Dataset]. https://nde-dev.biothings.io/resources?id=zenodo_10054701Dataset updatedOct 30, 2023Dataset provided byde Grauw, Max
Hering, Alessa
Van Ginneken, BramLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionThis dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains lesion volumes-of-interest (VOI's) for part of the weakly annotated DeepLesion data. The annotations are made available through the Challenge repository on GitHub.The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0
- Z
The ULS23 Challenge Public Training Dataset Part 3
- data.niaid.nih.gov
Updated Oct 30, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCitede Grauw, Max; Van Ginneken, Bram; Hering, Alessa (2023). The ULS23 Challenge Public Training Dataset Part 3 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10054305Dataset updatedOct 30, 2023Dataset provided byDepartment of Medical Imaging, Radboud University Medical Center, The NetherlandsAuthorsde Grauw, Max; Van Ginneken, Bram; Hering, AlessaLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionThis dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains lesion volumes-of-interest (VOI's) for previously released data. It consists of 76 lung lesions from the MDSC_Task06 dataset, 283 pancreas lesion from MDSC_Task07 and 133 colon lesions from MDSC_Task10, 558 abdominal lymph nodes, 379 mediastinal lymph nodes from the NIH-LN dataset. It also contains the weakly annotated CCC18 data, 1.211 lesions, and part of the DeepLesion dataset. The annotations are made available through the Challenge repository on GitHub.The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0
The ULS23 Challenge Public Training Dataset Part 2
- zenodo.org
- data.niaid.nih.gov
bin, zipUpdated Oct 30, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMax de Grauw; Max de Grauw; Bram van Ginneken; Bram van Ginneken; Alessa Hering; Alessa Hering (2023). The ULS23 Challenge Public Training Dataset Part 2 [Dataset]. http://doi.org/10.5281/zenodo.10050960bin, zipAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.10050960Dataset updatedOct 30, 2023AuthorsMax de Grauw; Max de Grauw; Bram van Ginneken; Bram van Ginneken; Alessa Hering; Alessa HeringLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionThis dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains lesion volumes-of-interest (VOI's) for previously released data. It consists of 333 kidney lesions from the KiTS21 dataset, 2.246 lung lesion from LIDC-IDRI and 888 liver lesions from the LiTS challenge. The annotations are made available through the Challenge repository on GitHub.
The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0
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FacebookTwitterEmailThe ULS23 Challenge Public Training Dataset
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains the lesion volumes-of-interest (VOI's) for the novel annotated data of this challenge. It consists of 750 lesions from the DeepLesion dataset, 744 bone and 124 pancreas lesions from the Radboudumc. Pancreas data was collected by Natália Alves, Megan Schuurmans and Henkjan Huisman. The annotations are made available through the Challenge repository on GitHub.
The full training dataset:
- Part 2: kits21, LIDC-IDRI, LiTS
- Part 3: MDSC task 6/7/10, NIH-LN, CCC18
- Part 4: DeepLesion
- Part 5: DeepLesion
- Part 6: DeepLesion
The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0