- Created by Tracy Nolan, last modified by Brittney Camp on Jul 22, 2021
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Summary
We expect these images can be used in a wide variety of image processing application. We are currently exploring a variety of automated intelligence algorithms for AI-based lesion characterization. Algorithms for object detection and segmentation may also be of interest. As the studies that have generated this data are also ongoing, it is expected that we can add volumetric data, contrast-enhanced ultrasound cine loops, and longer-term treatment response data to this data set in the future.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Thomas Jefferson University, Philadelphia, PA, USA - Special thanks to John Eisenbrey, PhD from the Department of Radiology, Andrej Lyshchik, MD, PhD from the Department of Radiology, Corinne Wessner, MBA from the Department of Radiology
- This work was supported in whole or in part under R01 CA194307 ; R01 CA215520 .
Data Access
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.
Data Type | Download all or Query/Filter |
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Images (DICOM, XX.X GB) | |
Clinical Data (xlsx or JSON) |
Click the Versions tab for more info about data releases.
Detailed Description
Image Statistics | |
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Modalities | US (B-Mode) |
Number of Participants | 75 |
Number of Studies | 75 |
Number of Series | 75 |
Number of Images | 1370 |
Images Size (GB) | 208 GB |
Add any additional information as needed below.
Citations & Data Usage Policy
Add any special restrictions in here.
Data Citation
Authors: John Eisenbrey (https://orcid.org/0000-0001-6411-3424), Andrej Lyshchik (https://orcid.org/0000-0001-8930-2213), Corinne Wessner
https://wiki.cancerimagingarchive.net/x/KQSkAw
Title: B-mode ultrasound data of a variety of liver masses
year of publication:
DOI: <coming soon>
Acknowledgement
<coming soon>
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
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 1 (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
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Images (DICOM, 208 GB) |
(Requires NBIA Data Retriever .) |
Clinical Data (CSV) | Link |
Other (format) |
Added new subjects.
Version 1: Updated 2018/10/24
Added new subjects.
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