CDMSP: a convolutional dense multi-scale pooling framework for low-light colonoscopy image enhancement.

K M, Palanisamy G, J S N

DOI: 10.3389/frai.2026.1903125
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1903125,
  title = {CDMSP: a convolutional dense multi-scale pooling framework for low-light colonoscopy image enhancement.},
  author = {K M and Palanisamy G and J S N},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1903125},
  url = {https://doi.org/10.3389/frai.2026.1903125}
}

RIS

TY  - JOUR
TI  - CDMSP: a convolutional dense multi-scale pooling framework for low-light colonoscopy image enhancement.
AU  - K M
AU  - Palanisamy G
AU  - J S N
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1903125
UR  - https://doi.org/10.3389/frai.2026.1903125
ER  -

APA

M, K., G, P., & N, J. S. (2026). CDMSP: a convolutional dense multi-scale pooling framework for low-light colonoscopy image enhancement.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1903125

Source records

pubmed · retrieved 2026-09-25T15:01:33.671Z