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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia limited license policy |
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| Armato III, S. 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., Max, D., Pais, R. C. , Qing, D. P. Y. , Roberts, R. Y., Smith, A. R., Starkey, A., Batra, P., Caligiuri, P., Farooqi, A., Gladish, G. W., Jude, C. M., Munden, R. F., Petkovska, I., Quint, L. E., Schwartz, L. H., Sundaram, B., Dodd, L. E., Fenimore, C., Gur, D., Petrick, N., Freymann, J., Kirby, J., Hughes, B., Casteele, A. V., Gupte, S., Sallam, M., Heath, M. D., Kuhn, M. H., Dharaiya, E., Burns, R., Fryd, D. S., Salganicoff, M., Anand, V., Shreter, U., Vastagh, S., Croft, B. Y., Clarke, L. P. (2015). Data From LIDC-IDRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX |
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| Please be sure to include the following attribution in any publications or grant applications along with references to appropriate LIDC publications: "The authors acknowledge the National Cancer Institute and the Foundation for the National Institutes of Health, and their critical role in the creation of the free publicly available LIDC/IDRI Database used in this study." |
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title | Publication Citation |
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| Armato SG 3rd, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Van Beeke EJ, Yankelevitz D, Biancardi AM, Bland PH, Brown MS, Engelmann RM, Laderach GE, Max D, Pais RC, Qing DP, Roberts RY, Smith AR, Starkey A, Batrah P, Caligiuri P, Farooqi A, Gladish GW, Jude CM, Munden RF, Petkovska I, Quint LE, Schwartz LH, Sundaram B, Dodd LE, Fenimore C, Gur D, Petrick N, Freymann J, Kirby J, Hughes B, Casteele AV, Gupte S, Sallamm M, Heath MD, Kuhn MH, Dharaiya E, Burns R, Fryd DS, Salganicoff M, Anand V, Shreter U, Vastagh S, Croft BY. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics, 38: 915--931, 2011. DOI: https://doi.org/10.1118/1.3528204 |
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| Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7 |
Additional Publication Resources:The Collection authors suggest the below will give context to this dataset: - Hancock, MC, Magnan, JF. Lung nodule malignancy classification using only radiologist quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods. SPIE Journal of Medical Imaging. Dec. 2016. https://doi.org/10.1117/1.JMI.3.4.044504
Other Publications Using This DataTCIA maintains a list of publications which leverage our data.If you have a manuscript you'd like to add please contact TCIA's Helpdesk. Altmetrics
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| Version 4 (Current): Updated 2020/09/219/21/2020 Maintenance notes: corrected inadvertent inclusion of third-party-generated files in primary-data download manifest Version 3 : Updated 2015/07/27 Data Type | Download all or Query/Filter |
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Images (DICOM, 125GB)* |
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url | https://wiki.cancerimagingarchive.net/download/attachments/1966254/TCIA_LIDC-IDRI_20200921.tcia?version=1&modificationDate=1600709265077&api=v2 |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=LIDC-IDRI |
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(Requires the NBIA Data Retriever .)
| DICOM Metadata Digest (CSV) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/1966254/LIDC-IDRI_MetaData.csv?version=2&modificationDate=1600709332036&api=v2 |
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| Radiologist Annotations/Segmentations (XML) | Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/1966254/LIDC-XML-only.zip?version=1&modificationDate=1530215018015&api=v2 |
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| Nodule Size List (web) |
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label | Search |
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url | http://http//www.via.cornell.edu/lidc/ |
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| Nodule Counts by Patient (XLS) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539039/lidc-idri%20nodule%20counts%20%286-23-2015%29.xlsx?version=1&modificationDate=1435085651880&api=v2 |
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| Patient Diagnoses (XLS) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539039/tcia-diagnosis-data-2012-04-20.xls?version=1&modificationDate=1334930231098&api=v2 |
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*Replace any manifests downloaded prior to 2/24/2020. Please download a new manifest by clicking on the download button in the Images row of the table above. Manifests downloaded prior to 2/24/2020 may not include all series in the collection. Prior to 7/27/2015, many of the series in the LIDC-IDRI collection, had inconsistent values in the DICOM Frame of Reference UID, DICOM tag (0020,0052). Each image had a unique value for Frame of Reference (which should be consistent across a series). This has been corrected. In addition, the following tags, which were present (but should not have been), were removed: (0020,0200) Synchronization Frame of Reference, (3006,0024) Referenced Frame of Reference, and (3006,00c2) Related Frame of Reference. Version 2: Updated 2012/03/21On 2012-03-21 the XML associated with patient LIDC-IDRI-0101 was updated with a corrected version of the file. The old version is still available if needed for audit purposes. Version 1: 2011/06/23 There was a "pilot release" of 399 cases of the LIDC CT data via the NCI CBIIT installation of NBIA . The LIDC-IDRI collection contained on TCIA is the complete data set of all 1,010 patients which includes all 399 pilot CT cases plus the additional 611 patient CTs and all 290 corresponding chest x-rays. A table which allows mapping between the old NBIA IDs and new TCIA IDs can be downloaded for those who have obtained and analyzed the older data. For a subset of approximately 100 cases from among the initial 399 cases released, inconsistent rating systems were used among the 5 sites with regard to the spiculation and lobulation characteristics of lesions identified as nodules > 3 mm. The XML nodule characteristics data as it exists for some cases will be impacted by this error. We apologize for any inconvenience. Contrary to previous documentation (prior to March 2010), the correct ordering for the subjective nodule lobulation and nodule spiculation rating scales stored in the XML files is 1=none to 5=marked. The issue of consistency noted above still remains to be corrected. |
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