A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.

E Ahmed NO, Mwalili S, Elbashir MK

DOI: 10.1371/journal.pone.0344561
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0344561,
  title = {A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.},
  author = {E Ahmed NO and Mwalili S and Elbashir MK},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0344561},
  url = {https://doi.org/10.1371/journal.pone.0344561}
}

RIS

TY  - JOUR
TI  - A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.
AU  - E Ahmed NO
AU  - Mwalili S
AU  - Elbashir MK
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0344561
UR  - https://doi.org/10.1371/journal.pone.0344561
ER  -

APA

NO, E. A., S, M., & MK, E. (2026). A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.. PloS one. https://doi.org/10.1371/journal.pone.0344561

Source records

pubmed · retrieved 2026-09-27T11:45:29.106Z