A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.

Zaylaa AJ, Yassine LN, Kourtian S

DOI: 10.3390/s26123874
Published: 2026 Jun 18
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26123874,
  title = {A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.},
  author = {Zaylaa AJ and Yassine LN and Kourtian S},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26123874},
  url = {https://doi.org/10.3390/s26123874}
}

RIS

TY  - JOUR
TI  - A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.
AU  - Zaylaa AJ
AU  - Yassine LN
AU  - Kourtian S
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26123874
UR  - https://doi.org/10.3390/s26123874
ER  -

APA

AJ, Z., LN, Y., & S, K. (2026). A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123874

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pubmed · retrieved 2026-11-10T09:23:00.680Z