HistoBreastCAD: an integrated deep learning framework for segmentation and multiclass classification of whole-slide breast histopathology images

Oswaldo Celi-Vega, Yuliana Jiménez-Gaona, Patricio Corral-Dominguez, Ángel Gutiérrez, Zaida Socola-Barzallo

Open source

DOI: 10.3389/fbinf.2026.1870283
Published: 2026-10-13
Container: Frontiers in Bioinformatics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fbinf.2026.1870283,
  title = {HistoBreastCAD: an integrated deep learning framework for segmentation and multiclass classification of whole-slide breast histopathology images},
  author = {Oswaldo Celi-Vega and Yuliana Jiménez-Gaona and Patricio Corral-Dominguez and Ángel Gutiérrez and Zaida Socola-Barzallo},
  year = {2026},
  journal = {Frontiers in Bioinformatics},
  doi = {10.3389/fbinf.2026.1870283},
  url = {https://doi.org/10.3389/fbinf.2026.1870283}
}

RIS

TY  - JOUR
TI  - HistoBreastCAD: an integrated deep learning framework for segmentation and multiclass classification of whole-slide breast histopathology images
AU  - Oswaldo Celi-Vega
AU  - Yuliana Jiménez-Gaona
AU  - Patricio Corral-Dominguez
AU  - Ángel Gutiérrez
AU  - Zaida Socola-Barzallo
PY  - 2026
JO  - Frontiers in Bioinformatics
DO  - 10.3389/fbinf.2026.1870283
UR  - https://doi.org/10.3389/fbinf.2026.1870283
ER  -

APA

Celi-Vega, O., Jiménez-Gaona, Y., Corral-Dominguez, P., Gutiérrez, Á., & Socola-Barzallo, Z. (2026). HistoBreastCAD: an integrated deep learning framework for segmentation and multiclass classification of whole-slide breast histopathology images. Frontiers in Bioinformatics. https://doi.org/10.3389/fbinf.2026.1870283

Source records

crossref · retrieved 2026-11-10T08:25:38.733Z