Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients

Automatic lesion segmentation on thoracic CT enables rapid quantitative analysis of lung involvement in COVID-19 infections. However, obtaining a large amount of voxel-level annotations for training segmentation networks is prohibitively expensive. Therefore, we propose a weakly-supervised segmentat...

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Detalles Bibliográficos
Autores principales: Xie, Weiyi, Jacobs, Colin, Charbonnier, Jean-Paul, van Ginneken, Bram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933523/
https://www.ncbi.nlm.nih.gov/pubmed/36848720
http://dx.doi.org/10.1016/j.media.2023.102771

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933523/
https://www.ncbi.nlm.nih.gov/pubmed/36848720
http://dx.doi.org/10.1016/j.media.2023.102771

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