A hybrid deep learning framework for platelet detection and counting in blood smear images toward dengue-relevant applications

T. Archana, J. Faritha Banu

Open source

DOI: 10.1007/s10791-026-10790-x
Published: 11
Container: Discover Computing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10791-026-10790-x,
  title = {A hybrid deep learning framework for platelet detection and counting in blood smear images toward dengue-relevant applications},
  author = {T. Archana and J. Faritha Banu},
  year = {2026},
  journal = {Discover Computing},
  doi = {10.1007/s10791-026-10790-x},
  url = {https://doi.org/10.1007/s10791-026-10790-x}
}

RIS

TY  - JOUR
TI  - A hybrid deep learning framework for platelet detection and counting in blood smear images toward dengue-relevant applications
AU  - T. Archana
AU  - J. Faritha Banu
PY  - 2026
JO  - Discover Computing
DO  - 10.1007/s10791-026-10790-x
UR  - https://doi.org/10.1007/s10791-026-10790-x
ER  -

APA

Archana, T., & Banu, J. F. (2026). A hybrid deep learning framework for platelet detection and counting in blood smear images toward dengue-relevant applications. Discover Computing. https://doi.org/10.1007/s10791-026-10790-x

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doaj · retrieved 2026-11-10T18:11:50.296Z