Computational approach for the diagnosis of mycetoma causative agents using histopathological microscopic images

Hyam Omar Abbass Ali

DOI: 10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb
Published: 2023-03-14
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Open access: yes

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Cite this work

BibTeX

@article{allodium:10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb,
  title = {Computational approach for the diagnosis of mycetoma causative agents using histopathological microscopic images},
  author = {Hyam Omar Abbass Ali},
  year = {2023},
  doi = {10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb},
  url = {https://doi.org/10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb}
}

RIS

TY  - JOUR
TI  - Computational approach for the diagnosis of mycetoma causative agents using histopathological microscopic images
AU  - Hyam Omar Abbass Ali
PY  - 2023
DO  - 10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb
UR  - https://doi.org/10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb
ER  -

APA

Ali, H. O. A. (2023). Computational approach for the diagnosis of mycetoma causative agents using histopathological microscopic images. https://doi.org/10.70675/cd750917z1bb2z408bz88f4z339cba0c09bb

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hal · retrieved 2026-09-26T19:20:41.828Z