RDB CycleGAN-CBAM: an integrated deep learning model for low-dose ct image denoising

Osman Assaf, Albert Güveniş

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DOI: 10.1007/s11517-026-03689-8
Published: 2026-10-12
Container: Medical & Biological Engineering & Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11517-026-03689-8,
  title = {RDB CycleGAN-CBAM: an integrated deep learning model for low-dose ct image denoising},
  author = {Osman Assaf and Albert Güveniş},
  year = {2026},
  journal = {Medical \&amp; Biological Engineering \&amp; Computing},
  doi = {10.1007/s11517-026-03689-8},
  url = {https://doi.org/10.1007/s11517-026-03689-8}
}

RIS

TY  - JOUR
TI  - RDB CycleGAN-CBAM: an integrated deep learning model for low-dose ct image denoising
AU  - Osman Assaf
AU  - Albert Güveniş
PY  - 2026
JO  - Medical &amp; Biological Engineering &amp; Computing
DO  - 10.1007/s11517-026-03689-8
UR  - https://doi.org/10.1007/s11517-026-03689-8
ER  -

APA

Assaf, O., & Güveniş, A. (2026). RDB CycleGAN-CBAM: an integrated deep learning model for low-dose ct image denoising. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-026-03689-8

Source records

crossref · retrieved 2026-11-09T19:27:31.972Z