Independent evaluation of machine learning and deep learning models for breast cancer detection

Deepthi, Ashalatha Nayak, Rani Oomman Panicker

Open source

DOI: 10.1371/journal.pdig.0001747
Published: 2026-09-28
Container: PLOS Digital Health
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pdig.0001747,
  title = {Independent evaluation of machine learning and deep learning models for breast cancer detection},
  author = {Deepthi and Ashalatha Nayak and Rani Oomman Panicker},
  year = {2026},
  journal = {PLOS Digital Health},
  doi = {10.1371/journal.pdig.0001747},
  url = {https://doi.org/10.1371/journal.pdig.0001747}
}

RIS

TY  - JOUR
TI  - Independent evaluation of machine learning and deep learning models for breast cancer detection
AU  - Deepthi
AU  - Ashalatha Nayak
AU  - Rani Oomman Panicker
PY  - 2026
JO  - PLOS Digital Health
DO  - 10.1371/journal.pdig.0001747
UR  - https://doi.org/10.1371/journal.pdig.0001747
ER  -

APA

Deepthi, Nayak, A., & Panicker, R. O. (2026). Independent evaluation of machine learning and deep learning models for breast cancer detection. PLOS Digital Health. https://doi.org/10.1371/journal.pdig.0001747

Source records

crossref · retrieved 2026-11-04T10:58:04.236Z