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ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
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The ULS23 Challenge Public Training Dataset Part 4

Authors: de Grauw, Max; Van Ginneken, Bram; Hering, Alessa;

The ULS23 Challenge Public Training Dataset Part 4

Abstract

This dataset contains part of the imaging data for the Universal Lesion Segmentation Challenge (ULS23). It contains lesion volumes-of-interest (VOI's) for part of the weakly annotated DeepLesion data. The annotations are made available through the Challenge repository on GitHub.The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0 

Related Organizations
Keywords

Medical Imaging, Artificial Intelligence, Lesion Segmentation, CT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average