A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.

Yu F, Zhu Y, Qin X, Xin Y, Yang D, Xu T

DOI: 10.1049/ipr2.12249
Published: 2021 Sep
Container: IET image processing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/ipr2.12249,
  title = {A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.},
  author = {Yu F and Zhu Y and Qin X and Xin Y and Yang D and Xu T},
  year = {2021},
  journal = {IET image processing},
  doi = {10.1049/ipr2.12249},
  url = {https://doi.org/10.1049/ipr2.12249}
}

RIS

TY  - JOUR
TI  - A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.
AU  - Yu F
AU  - Zhu Y
AU  - Qin X
AU  - Xin Y
AU  - Yang D
AU  - Xu T
PY  - 2021
JO  - IET image processing
DO  - 10.1049/ipr2.12249
UR  - https://doi.org/10.1049/ipr2.12249
ER  -

APA

F, Y., Y, Z., X, Q., Y, X., D, Y., & T, X. (2021). A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.. IET image processing. https://doi.org/10.1049/ipr2.12249

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pubmed · retrieved 2026-09-24T21:20:51.093Z