DestaquesEntrar

Estudos públicos para a sua demo

Estudos do NCI Imaging Data Commons com licença aberta, prontos para carregar no seu viewer.

Regras de dados

Ler a seção de dados no regulamento

Como baixar

Instale o idc-index e rode o comando de cada estudo na pasta onde quer os arquivos.

pip install idc-index

Estudos

  1. LIDC-IDRI

    CT, SEG, SR · CHEST · 35 MB · CC BY 3.0

    StudyInstanceUID
    1.3.6.1.4.1.14519.5.2.1.6279.6001.210460865401632134346677582159
    Citação

    Armato III, Samuel G., McLennan, G., Bidaut, L., McNitt-Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., Kazerooni, E. A., MacMahon, H., Van Beek, E. J. R., Yankelevitz, D., Biancardi, A. M., Bland, P. H., Brown, M. S., Engelmann, R. M., Laderach, G. E., … Clarke, L. P. (2015). Data From LIDC-IDRI (Version 4) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX

    Fedorov, A., Hancock, M., Clunie, D., Brochhausen, M., Bona, J., Kirby, J., Freymann, J., Aerts, H. J. W. L., Kikinis, R., & Prior, F. (2018). Standardized representation of the TCIA LIDC-IDRI annotations using DICOM (Version 3) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2018.H7UMFURQ

    idc download 1.3.6.1.4.1.14519.5.2.1.6279.6001.210460865401632134346677582159

  2. NSCLC Radiogenomics

    CT, PT, SEG · LUNG · 103 MB · CC BY 3.0, CC BY 4.0

    StudyInstanceUID
    1.3.6.1.4.1.14519.5.2.1.4334.1501.653360657532172299935692201400
    Citação

    Bakr, S., Gevaert, O., Echegaray, S., Ayers, K., Zhou, M., Shafiq, M., Zheng, H., Zhang, W., Leung, A., Kadoch, M., Shrager, J., Quon, A., Rubin, D., Plevritis, S., & Napel, S. (2017). Data for NSCLC Radiogenomics Collection (Version 4) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.7HS46ERV

    Van Oss, J., Murugesan, G. K., McCrumb, D., & Soni, R. (2024). Image segmentations produced by BAMF under the AIMI Annotations initiative (Version v2.0.2) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.8345959

    idc download 1.3.6.1.4.1.14519.5.2.1.4334.1501.653360657532172299935692201400

  3. UPENN-GBM

    MR, SEG · BRAIN · 20 MB · CC BY 4.0

    StudyInstanceUID
    1.3.6.1.4.1.14519.5.2.1.81896212790030501983260473507558407939
    Citação

    Bakas, S., Sako, C., Akbari, H., Bilello, M., Sotiras, A., Shukla, G., Rudie, J. D., Flores Santamaria, N., Fathi Kazerooni, A., Pati, S., Rathore, S., Mamourian, E., Ha, S. M., Parker, W., Doshi, J., Baid, U., Bergman, M., Binder, Z. A., Verma, R., … Davatzikos, C. (2021). Multi-parametric magnetic resonance imaging (mpMRI) scans for de novo Glioblastoma (GBM) patients from the University of Pennsylvania Health System (UPENN-GBM) (Version 2) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.709X-DN49

    Van Oss, J., Murugesan, G. K., McCrumb, D., & Soni, R. (2024). Image segmentations produced by BAMF under the AIMI Annotations initiative (Version v2.0.2) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.8345959

    idc download 1.3.6.1.4.1.14519.5.2.1.81896212790030501983260473507558407939

  4. Prostate-MRI-US-Biopsy

    M3D, MR, SEG · PELVIS · 20 MB · CC BY 4.0

    StudyInstanceUID
    1.3.6.1.4.1.14519.5.2.1.153613283546503819934885929827859483069
    Citação

    Ciausu, C., Clunie, D., & Fedorov, A. (2023). DICOM converted annotations for the Prostate-MRI-US-Biopsy collection [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.10069910

    Natarajan, S., Priester, A., Margolis, D., Huang, J., & Marks, L. (2020). Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-MRI-US-Biopsy) (Version 2) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.A61IOC1A

    idc download 1.3.6.1.4.1.14519.5.2.1.153613283546503819934885929827859483069

  5. CBIS-DDSM

    MG · BREAST · 10 MB · CC BY 3.0

    StudyInstanceUID
    1.3.6.1.4.1.9590.100.1.2.251229393412385867941848541770264573557
    Citação

    Sawyer-Lee, R., Gimenez, F., Hoogi, A., & Rubin, D. (2016). Curated Breast Imaging Subset of Digital Database for Screening Mammography (CBIS-DDSM) (Version 1) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.7O02S9CY

    idc download 1.3.6.1.4.1.9590.100.1.2.251229393412385867941848541770264573557

Ao usar o Imaging Data Commons, cite também

Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W. L., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., et al. (2023). National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics, 43(12). https://doi.org/10.1148/rg.230180