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  • A morphological dataset of white blood cells from patients with four different genetic AML entities and non-malignant controls (AML-Cytomorphology_MLL_Helmholtz)

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Comment: Page being made public with a "Data Coming Soon" label per Justin Kirby's instruction. Journal released paper early before data was vetted so DOI needs to be live and go to a placeholder page

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

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Tissue Slide Images (SVS, XX.X GB)
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Clinical data (CSV)
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Click the Versions tab for more info about data releases.

Additional Resources for this Dataset

Note to curators! Below are examples for what to do with other external resources/links that don't fit into the above categories.

The following external resources have been made available by the data submitters.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.

  • Software / Code on Github
  • Genomics data in DbGAP
  • Genomics data in Gene Expression Omnibus

Third Party Analyses of this Dataset

TCIA encourages the community to publish your analyses of our datasets

.

Below is a list of such third party analyses published using this Collection:<add links to TCIA Analysis Result DOIs here>


Localtab
titleDetailed Description

Detailed Description

Image Statistics

Pathology Image Statistics

Modalities


Number of Patients


Number of Images


Images Size (GB)

<< Add any additional information that didn't fit or belong in the Summary section. >>Data Coming Soon



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

draft DOI: Hehr, M., Sadafi, A., Matek, C., Lienemann, P., Pohlkamp, C., Haferlach, T., Spiekermann, K., & Marr, C. (2023). A morphological dataset of white blood cells from patients with four different genetic AML entities and non-malignant controls (AML-Cytomorphology_MLL_Helmholtz) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/6ppe6PPE-4020


Info
titlePublication Citation

Manuscript under review:  Hehr, M., Sadafi, A., Matek, C., Lienemann, P., Pohlkamp, C., Haferlach, T., Spiekermann, K., & Marr, C. (2023). Explainable AI identifies diagnostic cells of genetic AML subtypes. In H. Mattie (Ed.), PLOS Digital Health (Vol. 2, Issue 3, p. e0000187). Public Library of Science (PLoS). https://journalsdoi.plos.org/digitalhealth/10.1371/journal.pdig.0000187


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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC.https://doi.org/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.


tcia-cc-by-4
Localtab
titleVersions

Version

X

1 (Current): Updated

yyyy

2023/

mm

03/

dd

22

Data TypeDownload all or Query/FilterLicense
Tissue Slide Images (SVS, XX.X GB)
Tcia button generator
Tcia button generator
labelSearch

Tcia cc by 4

Clinical data (CSV)
Tcia button generator
Data Coming Soon