Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.

Iqbal A, Sharif M, Yasmin M, Raza M, Aftab S

DOI: 10.1007/s13735-022-00240-x
Published: 2022
Container: International journal of multimedia information retrieval
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s13735-022-00240-x,
  title = {Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.},
  author = {Iqbal A and Sharif M and Yasmin M and Raza M and Aftab S},
  year = {2022},
  journal = {International journal of multimedia information retrieval},
  doi = {10.1007/s13735-022-00240-x},
  url = {https://doi.org/10.1007/s13735-022-00240-x}
}

RIS

TY  - JOUR
TI  - Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.
AU  - Iqbal A
AU  - Sharif M
AU  - Yasmin M
AU  - Raza M
AU  - Aftab S
PY  - 2022
JO  - International journal of multimedia information retrieval
DO  - 10.1007/s13735-022-00240-x
UR  - https://doi.org/10.1007/s13735-022-00240-x
ER  -

APA

A, I., M, S., M, Y., M, R., & S, A. (2022). Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.. International journal of multimedia information retrieval. https://doi.org/10.1007/s13735-022-00240-x

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pubmed · retrieved 2026-09-25T23:52:43.321Z