Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods.

S D, M S

Open source

DOI
10.3389/frai.2026.1786679
Published
2026
Container
Frontiers in artificial intelligence
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1786679,
  title = {Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods.},
  author = {S D and M S},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1786679},
  url = {https://doi.org/10.3389/frai.2026.1786679}
}

RIS

TY  - JOUR
TI  - Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods.
AU  - S D
AU  - M S
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1786679
UR  - https://doi.org/10.3389/frai.2026.1786679
ER  - 

APA

D, S., & S, M. (2026). Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1786679

Source records