Cut instance mixing: A domain-specific data augmentation method applied to gastrointestinal lesion detection.

Neto A, Almeida E, Libânio D, Dinis-Ribeiro M, Coimbra M, Cunha A

DOI: 10.1038/s41598-026-42138-2
Published: 2026 Mar 4
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-42138-2,
  title = {Cut instance mixing: A domain-specific data augmentation method applied to gastrointestinal lesion detection.},
  author = {Neto A and Almeida E and Libânio D and Dinis-Ribeiro M and Coimbra M and Cunha A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-42138-2},
  url = {https://doi.org/10.1038/s41598-026-42138-2}
}

RIS

TY  - JOUR
TI  - Cut instance mixing: A domain-specific data augmentation method applied to gastrointestinal lesion detection.
AU  - Neto A
AU  - Almeida E
AU  - Libânio D
AU  - Dinis-Ribeiro M
AU  - Coimbra M
AU  - Cunha A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-42138-2
UR  - https://doi.org/10.1038/s41598-026-42138-2
ER  -

APA

A, N., E, A., D, L., M, D., M, C., & A, C. (2026). Cut instance mixing: A domain-specific data augmentation method applied to gastrointestinal lesion detection.. Scientific reports. https://doi.org/10.1038/s41598-026-42138-2

Source records

pubmed · retrieved 2026-11-10T20:58:33.253Z