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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Simulated Long-Film image dataset

Authors: Yixuan;

Simulated Long-Film image dataset

Abstract

This dataset contains simulated 10,368 Long-Film images and vertebrae centroid labels from projection of public CT images. The CT images are from SpineWeb [1] and The Cancer Imaging Archive [2]. Details of usage and generation process can be found in [3]. [1] B. Glocker, J. Feulner, A. Criminisi, D.R. Haynor, E. Konukoglu, Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans., Med. Image Comput. Comput. Assist. Interv. 15 (2012) 590–8. https://doi.org/10.1007/978-3-642-33454-2_73. [2] K. Clark, B. Vendt, K. Smith, J. Freymann, J. Kirby, P. Koppel, S. Moore, S. Phillips, D. Maffitt, M. Pringle, L. Tarbox, F. Prior, The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository., J. Digit. Imaging. 26 (2013) 1045–57. https://doi.org/10.1007/s10278-013-9622-7. [3] Huang Y, Jones CK, Zhang X, Johnston A, Waktola S, Aygun N, Witham TF, Bydon A, Theodore N, Helm PA, Siewerdsen JH, Uneri A. "Multi-perspective region-based CNNs for vertebrae labeling in intraoperative long-length images." Computer Methods and Programs in Biomedicine, 2022 (under review)

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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!
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