Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis

Ece Ozkan, Xavier Boix

Open source

DOI: 10.1038/s41598-024-73561-y
Published: 2024-10-18
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-73561-y,
  title = {Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis},
  author = {Ece Ozkan and Xavier Boix},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-73561-y},
  url = {https://doi.org/10.1038/s41598-024-73561-y}
}

RIS

TY  - JOUR
TI  - Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis
AU  - Ece Ozkan
AU  - Xavier Boix
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-73561-y
UR  - https://doi.org/10.1038/s41598-024-73561-y
ER  -

APA

Ozkan, E., & Boix, X. (2024). Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis. Scientific Reports. https://doi.org/10.1038/s41598-024-73561-y

Source records

crossref · retrieved 2026-09-25T23:53:04.540Z