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Non-contrast head/brain CT CQ500 Dataset
- academictorrents.com
bittorrentUpdated Oct 5, 2018
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EmailClick to copy linkLink copiedCiteQure.ai (2018). Non-contrast head/brain CT CQ500 Dataset [Dataset]. https://academictorrents.com/details/47e9d8aab761e75fd0a81982fa62bddf3a173831bittorrent(28660285880)Available download formatsDataset updatedOct 5, 2018Dataset provided byQure.aiLicensehttps://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
DescriptionCQ500 dataset of 491 Computed tomography scans with 193,317 slices Anonymized dicoms for all the scans and the corresponding radiologists reads. ![]() Paper:
- Z
Seg-CQ500
- data.niaid.nih.gov
- zenodo.org
Updated Jul 19, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStåhle Jennifer (2023). Seg-CQ500 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8063220Dataset updatedJul 19, 2023Dataset provided byKaijser Magnus
Wang Chunliang
Spahr Antoine
Ståhle JenniferLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionIntracranial hemorrhages segmentation labels for 51 CT-scans from the CQ500 dataset (http://headctstudy.qure.ai/dataset).
Two trained radiologists from the Karolinska Instituted in Stockholm, labeled 51 scans to provide 3D mask of intracranial hemorrhages.
We hope our new labels will promote the comparability of hemorrhage segmentation algorithm in the future and help push the field forward.
If you use those labels, please cite our paper in Frontiers in Neuroimaging:
Spahr A, Ståhle J, Wang C and Kaijser M (2023) Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans. Front. Neuroimaging 2:1157565. doi: 10.3389/fnimg.2023.1157565 - t
CQ500 - Dataset - LDM
- service.tib.eu
Updated Dec 16, 2024 - f
Overall performance of multi-class classification using RSNA and CQ500...
- figshare.com
xlsUpdated Aug 6, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDittapong Songsaeng; Akara Supratak; Pantid Chantangphol; Saowapot Sarumpakul; Natsuda Kaothanthong (2025). Overall performance of multi-class classification using RSNA and CQ500 datasets. [Dataset]. http://doi.org/10.1371/journal.pone.0327871.t003xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0327871.t003Dataset updatedAug 6, 2025Dataset provided byPLOS ONEAuthorsDittapong Songsaeng; Akara Supratak; Pantid Chantangphol; Saowapot Sarumpakul; Natsuda KaothanthongLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionOverall performance of multi-class classification using RSNA and CQ500 datasets.
- f
Binary classification performance of the proposed HU-RGB with adaptive...
- plos.figshare.com
xlsUpdated Aug 6, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDittapong Songsaeng; Akara Supratak; Pantid Chantangphol; Saowapot Sarumpakul; Natsuda Kaothanthong (2025). Binary classification performance of the proposed HU-RGB with adaptive window preprocessing compared with the other methods using RSNA and CQ500 datasets. [Dataset]. http://doi.org/10.1371/journal.pone.0327871.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0327871.t002Dataset updatedAug 6, 2025Dataset provided byPLOS ONEAuthorsDittapong Songsaeng; Akara Supratak; Pantid Chantangphol; Saowapot Sarumpakul; Natsuda KaothanthongLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionBinary classification performance of the proposed HU-RGB with adaptive window preprocessing compared with the other methods using RSNA and CQ500 datasets.
SEResNext101_rsna_cq500_2class_weights
- kaggle.com
Updated Oct 29, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSamyar Rahimi (2021). SEResNext101_rsna_cq500_2class_weights [Dataset]. https://www.kaggle.com/datasets/samyarr/seresnext101-rsna-cq500-2class-weightsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 29, 2021AuthorsSamyar RahimiDescriptionDataset
This dataset was created by Samyar Rahimi
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FacebookTwitterEmailNon-contrast head/brain CT CQ500 Dataset
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
CQ500 dataset of 491 Computed tomography scans with 193,317 slices Anonymized dicoms for all the scans and the corresponding radiologists reads. ![]() Paper: