Localtab |
---|
active | true |
---|
title | Data Access |
---|
| Data AccessThis collection has been published under Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit aTCIA No Commercial Limited Access License. Users must download and submit a signed copy of this license to to help@cancerimagingarchive.net before accessing the data. Attribution should include references to the following citations:Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents before accessing the data. Data Type | Download all or Query/Filter | License |
---|
Images, Segmentations, and Radiation Therapy Structures (DICOM, 11.8 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Head-Neck-Radiomics-HN1-Version%202-Sept%202019%20NBIA-manifest.tcia?version=1&modificationDate=1568995984096&api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HEAD-NECK-RADIOMICS-HN1 |
---|
|
|
Image RemovedImage Removed (Requires NBIA Data Retriever.) | | Clinical Data (CSV, zip, 3 kB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Clinical_Data_CSV_for_the_Head-Neck-Radiomics_collection%20July%2029%202020.zip?version=1&modificationDate=1596049703964&api=v2 |
---|
|
|
| | Data Dictionary (txt, 5 kB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Data_dictionary_for_HEAD-NECK-RADIOMICS-HN1_Clinical_data%20July%2029%202020.txt?version=1&modificationDate=1596049800045&api=v2 |
---|
|
|
| |
Click the Versions tab for more info about data releases. |
Localtab |
---|
title | Detailed Description |
---|
| Detailed Description | |
---|
Modalities | CT, PT, RTSTRUCT, SEG | Number of Participants | 137 | Number of Studies | 137 | Number of Series | 486 | Number of Images | 28918 | Images Size (GB) | 28918 |
|
Localtab |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage PolicyThis collection has been published under a TCIA No Commercial Limited Access License. Users must download and submit a signed copy of this license to help@cancerimagingarchive.net before accessing the data. Attribution should include references to the following citations: Tcia limited license policy |
---|
Info |
---|
title | Publication Citation |
---|
| Aerts HJWL, Velazquez ER, Leijenaar RTH, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Decoding Tumour Phenotype by Noninvasive Imaging Using a Quantitative Radiomics Approach, Nature Communications, Volume 5, Article Number 4006, June 03, 2014. DOI: http://doi.org/10.1038/ncomms5006. |
Info |
---|
| 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, . In Journal of Digital Imaging , Volume (Vol. 26, Number Issue 6, December, 2013, pp 1045-1057. DOI: , pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915 |
Questions may be directed to help@cancerimagingarchive.net. Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA our data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. - Bielak, L., Wiedenmann, N., Berlin, A., Nicolay, N. H., Gunashekar, D. D., Hagele, L., . . . Bock, M. (2020). Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis. Radiat Oncol, 15(1), 181. doi:https://doi.org/10.1186/s13014-020-01618-z
- Choi, Y., Nam, Y., Jang, J., Shin, N. Y., Ahn, K. J., Kim, B. S., . . . Kim, M. S. (2020). Prediction of Human Papillomavirus Status and Overall Survival in Patients with Untreated Oropharyngeal Squamous Cell Carcinoma: Development and Validation of CT-Based Radiomics. AJNR Am J Neuroradiol, 41(10), 1897-1904. doi: https://doi.org/10.3174/ajnr.A6756
- Gifford, R. C. (2022). Deep Learning Architecture to Improve Edge Accuracy of Auto-Contouring for Head and Neck Radiotherapy. (Master of Science MS). Ohio State UNiversity, Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1658317931555616
- Giraud, P., Giraud, P., Nicolas, E., Boisselier, P., Alfonsi, M., Rives, M., . . . Chajon, E. (2021). Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers. Cancers, 13(1), 57. doi:https://doi.org/10.3390/cancers13010057
- Kalendralis, P. (2022). Artificial intelligence applications in radiotherapy: The role of the FAIR data principles. (Ph.D. Dissertation). Maastricht University ,The Netherlands, Available from https://doi.org/10.26481/dis.20221010pk
- Kalendralis, P., Shi, Z., Traverso, A., Choudhury, A., Sloep, M., Zhovannik, I., . . . Wee, L. (2020). FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections. Med Phys. doi:https://doi.org/10.1002/mp.14322
- La Greca Saint-Esteven, A., Bogowicz, M., Konukoglu, E., Riesterer, O., Balermpas, P., Guckenberger, M., . . . van Timmeren, J. E. (2022). A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Comput Biol Med, 142, 105215. doi:https://doi.org/10.1016/j.compbiomed.2022.105215
- Li, J., Qiu, Z., Zhang, C., Chen, S., Wang, M., Meng, Q., . . . Zhang, X. (2022). ITHscore: comprehensive quantification of intra-tumor heterogeneity in NSCLC by multi-scale radiomic features. Eur Radiol. doi:https://doi.org/10.1007/s00330-022-09055-0
- Lombardo, E., Kurz, C., Marschner, S., Avanzo, M., Gagliardi, V., Fanetti, G., . . . Landry, G. (2021). Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts. Sci Rep, 11(1), 6418. doi:https://doi.org/10.1038/s41598-021-85671-y
- Lv, W., Zhou, Z., Peng, J., Peng, L., Lin, G., Wu, H., . . . Lu, L. (2023). Functional-structural Sub-region Graph Convolutional Network (FSGCN): Application to the Prognosis of Head and Neck Cancer with PET/CT imaging. Computer Methods and Programs in Biomedicine. doi:https://doi.org/10.1016/j.cmpb.2023.107341
- Moitra, D., & Mandal, R. K. (2022). Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model. Multimed Tools Appl, 1-19. doi:https://doi.org/10.1007/s11042-022-12229-z
- Zhinan, L., Wei, Z., Yudi, Y., Yabing, D., Yuanzhe, X., & Xiulan, L. (2022). Prediction of Human Papillomavirus (HPV) Status in Oropharyngeal Squamous Cell Carcinoma Based on Radiomics and Machine Learning Algorithms: A Multi-Cohort Study. Systematic Reviews in Pharmacy.
|
Localtab |
---|
| Version 3 (Current): Updated 2020/07/29Data Type | Download all or Query/Filter |
---|
Images (DICOM, 11.8 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Head-Neck-Radiomics-HN1-Version%202-Sept%202019%20NBIA-manifest.tcia?version=1&modificationDate=1568995984096&api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HEAD-NECK-RADIOMICS-HN1 |
---|
|
|
Image RemovedImage Removed (Requires NBIA Data Retriever.) | Clinical Data (CSV, zip) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Clinical_Data_CSV_for_the_Head-Neck-Radiomics_collection%20July%2029%202020.zip?version=1&modificationDate=1596049703964&api=v2 |
---|
| Image Removed
| Data Dictionary (txt) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Data_dictionary_for_HEAD-NECK-RADIOMICS-HN1_Clinical_data%20July%2029%202020.txt?version=1&modificationDate=1596049800045&api=v2 |
---|
| Image Removed
|
Added the chemotherapy schedule to the clinical data; one extra column added which is “chemotherapy_given”. Added data dictionary for clinical data. Version 2 (Current): Updated 2019/09/20Data Type | Download all or Query/Filter |
---|
Images (DICOM, 11.8 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/Head-Neck-Radiomics-HN1-Version%202-Sept%202019%20NBIA-manifest.tcia?version=1&modificationDate=1568995984096&api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HEAD-NECK-RADIOMICS-HN1 |
---|
|
|
Image RemovedImage Removed (Requires NBIA Data Retriever.) | Clinical Data (CSV) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/HEAD-NECK-RADIOMICS-HN1%20Clinical%20data.csv?version=1&modificationDate=1564061098197&api=v2 |
---|
| Image Removed
|
Added DICOM Segmentations Version 1: Updated 2019/07/25Data Type | Download all or Query/Filter |
---|
Images (DICOM, 11.2 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/HEAD-NECK-RADIOMICS-HN1-NBIA-manifest.tcia?version=1&modificationDate=1564063158113&api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HEAD-NECK-RADIOMICS-HN1 |
---|
|
|
Image RemovedImage Removed (Requires NBIA Data Retriever.) | Clinical Data (CSV) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/52762760/HEAD-NECK-RADIOMICS-HN1%20Clinical%20data.csv?version=1&modificationDate=1564061098197&api=v2 |
---|
| Image Removed
|
|
|