MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images.

Lyu Y, Tian X

Open source

DOI
10.3390/bioengineering10091091
Published
2023 Sep 18
Container
Bioengineering (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/bioengineering10091091,
  title = {MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images.},
  author = {Lyu Y and Tian X},
  year = {2023},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering10091091},
  url = {https://doi.org/10.3390/bioengineering10091091}
}

RIS

TY  - JOUR
TI  - MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images.
AU  - Lyu Y
AU  - Tian X
PY  - 2023
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering10091091
UR  - https://doi.org/10.3390/bioengineering10091091
ER  - 

APA

Y, L., & X, T. (2023). MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering10091091

Source records