Deep learning in breast cancer histopathology: predicting and detecting axillary lymph node metastasis

Vedad Dedic, Mehmed Kadric, Nejra Selak, Timur Ceric

Open source

DOI: 10.1007/s00428-026-04711-y
Published: 2026-09-04
Container: Virchows Archiv
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00428-026-04711-y,
  title = {Deep learning in breast cancer histopathology: predicting and detecting axillary lymph node metastasis},
  author = {Vedad Dedic and Mehmed Kadric and Nejra Selak and Timur Ceric},
  year = {2026},
  journal = {Virchows Archiv},
  doi = {10.1007/s00428-026-04711-y},
  url = {https://doi.org/10.1007/s00428-026-04711-y}
}

RIS

TY  - JOUR
TI  - Deep learning in breast cancer histopathology: predicting and detecting axillary lymph node metastasis
AU  - Vedad Dedic
AU  - Mehmed Kadric
AU  - Nejra Selak
AU  - Timur Ceric
PY  - 2026
JO  - Virchows Archiv
DO  - 10.1007/s00428-026-04711-y
UR  - https://doi.org/10.1007/s00428-026-04711-y
ER  -

APA

Dedic, V., Kadric, M., Selak, N., & Ceric, T. (2026). Deep learning in breast cancer histopathology: predicting and detecting axillary lymph node metastasis. Virchows Archiv. https://doi.org/10.1007/s00428-026-04711-y

Source records

crossref · retrieved 2026-09-26T02:39:22.395Z