RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation.

Xiao Z, Zhang X, Liu Y, Geng L, Wu J, Wang W, Zhang F

DOI: 10.1007/s11760-022-02446-2
Published: 2023
Container: Signal, image and video processing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s11760-022-02446-2,
  title = {RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation.},
  author = {Xiao Z and Zhang X and Liu Y and Geng L and Wu J and Wang W and Zhang F},
  year = {2023},
  journal = {Signal, image and video processing},
  doi = {10.1007/s11760-022-02446-2},
  url = {https://doi.org/10.1007/s11760-022-02446-2}
}

RIS

TY  - JOUR
TI  - RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation.
AU  - Xiao Z
AU  - Zhang X
AU  - Liu Y
AU  - Geng L
AU  - Wu J
AU  - Wang W
AU  - Zhang F
PY  - 2023
JO  - Signal, image and video processing
DO  - 10.1007/s11760-022-02446-2
UR  - https://doi.org/10.1007/s11760-022-02446-2
ER  -

APA

Z, X., X, Z., Y, L., L, G., J, W., W, W., & F, Z. (2023). RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation.. Signal, image and video processing. https://doi.org/10.1007/s11760-022-02446-2

Source records

pubmed · retrieved 2026-09-25T06:21:16.493Z