Summary
We provide JPG images and XML annotation files in PASCAL VOC format which is widely used in deep learning and machine learning researches. The annotation files are provided by five doctors and two deep learning researchers. Besides that, all the cases were confirmed by pathology. Thus, we can guarantee our dataset precise and ease of use. Our dataset can be regarded as a useful tools and data resource to develop medical diagnosis algorithm based on deep learning. On the other hand, our data set can be used as an effective tool for promoting medical diagnosis.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.
- Continue with any names from additional submitting sites if collection consists of more that one.
Data Access
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Images (DICOM, XX.X GB) | (Download requires the NBIA Data Retriever) |
Supplemental Data (format) |
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Please contact help@cancerimagingarchive.net with any questions regarding usage.
Detailed Description
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Citations & Data Usage Policy
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These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 4.0 International License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
Data Citation
DOI goes here. Create using Datacite with information from Collection Approval form
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
In addition to the dataset citations above, please be sure to cite the following if you utilize these data in your research:
Acknowledgement
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version X (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | (Requires NBIA Data Retriever.) |
Clinical Data (CSV) | Link |
Other (format) |
Added new subjects.