InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography.

Kulathilake KASH, Abdullah NA, Bandara AMRR, Lai KW

DOI: 10.1155/2021/9975762
Published: 2021
Container: Journal of healthcare engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2021/9975762,
  title = {InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography.},
  author = {Kulathilake KASH and Abdullah NA and Bandara AMRR and Lai KW},
  year = {2021},
  journal = {Journal of healthcare engineering},
  doi = {10.1155/2021/9975762},
  url = {https://doi.org/10.1155/2021/9975762}
}

RIS

TY  - JOUR
TI  - InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography.
AU  - Kulathilake KASH
AU  - Abdullah NA
AU  - Bandara AMRR
AU  - Lai KW
PY  - 2021
JO  - Journal of healthcare engineering
DO  - 10.1155/2021/9975762
UR  - https://doi.org/10.1155/2021/9975762
ER  -

APA

KASH, K., NA, A., AMRR, B., & KW, L. (2021). InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography.. Journal of healthcare engineering. https://doi.org/10.1155/2021/9975762

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pubmed · retrieved 2026-09-25T13:04:42.700Z