The Cancer Imaging Archive (TCIA) Public Access

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

Low Energy Images (JPG within ZIP, 0.64 GB)


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Subtracted Images (JPG within ZIP, 0.82 GB)


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Clinical data (DOCX within ZIP)


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Annotations 

Radiology_hand_drawn_segmentations_v2.csv

Radiology manual annotations.xlsx

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

MG

Number of Patients

326

Number of Studies


Number of Series

1003

Number of Images

2006

Images Size (GB)1.5 GB

We used this tool for the segmentation annotation: https://www.robots.ox.ac.uk/~vgg/software/via/via.html

It can also be used to show the annotations on the images by clicking on Annotation--> import annotations (from csv). And then you can upload any image and it will show the annotations drawn over it.

Alternatively, we can send you the images with the segmentations drawn over it, as we wrote a python script to draw the segmentations in this repository: https://github.com/omar-mohamed/CDD-CESM-Dataset

Regarding the tabs on the Excel file, these are commonly used radiological descriptors according to the international guidelines as defined by the American College of Radiology 2013 lexicon. The only tab with abbreviation used is the “postNACTH” tab, for “postneoadjuvant chemotherapy”. Other abbreviations or scores are explained in the manuscript and the medical report documents.


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 international


Info
titleData Citation

Khaled R., Helal M., Alfarghaly O., Mokhtar O., Elkorany A., El Kassas H., Fahmy A. Categorized Digital Database for Low energy and Subtracted Contrast Enhanced Spectral Mammography images. (2021) The Cancer Imaging Archive. DOI:  <coming soon>


Info
titlePublication Citation

Categorized contrast mammography dataset for 1 diagnostic research and artificial intelligence 2 operation <coming soon>


Info
titleTCIA 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.


Localtab
titleVersions

Version 1 (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter

Low Energy Images (JPG within ZIP, 0.64 GB)



Subtracted Images (JPG within ZIP, 0.82 GB)



Clinical data (DOCX within ZIP)



Annotations 

Radiology_hand_drawn_segmentations_v2.csv

Radiology manual annotations.xlsx




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