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Correction: A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients

EJNMMI Physics volume 10, Article number: 13 (2023) Cite this article

The Original Article was published on 05 December 2022


Correction: EJNMMI Physics (2022), 9(1):84 https://doi.org/10.1186/s40658-022-00510-x


Following the publication of the original article [1], the authors reported that the figures were cited and presented as part of the Background section instead of where they were originally cited in the text.


The original article [1] has been updated.

Reference

  1. Baeza S, Gil D, Garcia-Olivé I, et al. A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients. EJNMMI Phys. 2022;9:84. https://doi.org/10.1186/s40658-022-00510-x.

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Authors and Affiliations

  1. Respiratory Medicine Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain

    Sonia Baeza, Ignasi Garcia-Olivé & Antoni Rosell

  2. Germans Trias I Pujol Research Institute (IGTP), Badalona, Barcelona, Spain

    Sonia Baeza, Ignasi Garcia-Olivé & Antoni Rosell

  3. Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain

    Sonia Baeza, Ignasi Garcia-Olivé & Antoni Rosell

  4. Computer Vision Center and Computer Science Department, UAB, Barcelona, Spain

    Debora Gil, Carles Sanchez & Guillermo Torres

  5. Nuclear Medicine Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain

    Maite Salcedo-Pujantell, Jordi Deportós & Gloria Moragas

Authors
  1. Sonia Baeza
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  2. Debora Gil
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  3. Ignasi Garcia-Olivé
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  4. Maite Salcedo-Pujantell
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  5. Jordi Deportós
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  6. Carles Sanchez
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  7. Guillermo Torres
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  8. Gloria Moragas
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  9. Antoni Rosell
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Corresponding author

Correspondence to Sonia Baeza.

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Baeza, S., Gil, D., Garcia-Olivé, I. et al. Correction: A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients. EJNMMI Phys 10, 13 (2023). https://doi.org/10.1186/s40658-023-00532-z

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  • DOI: https://doi.org/10.1186/s40658-023-00532-z