Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.

Akram Abdulrazzaq A, Al-Douri AT, Abdullah Hamad A, Musa Jaber M, Meraf Z

DOI: 10.1155/2022/2682287
Published: 2022
Container: Bioinorganic chemistry and applications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2682287,
  title = {Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.},
  author = {Akram Abdulrazzaq A and Al-Douri AT and Abdullah Hamad A and Musa Jaber M and Meraf Z},
  year = {2022},
  journal = {Bioinorganic chemistry and applications},
  doi = {10.1155/2022/2682287},
  url = {https://doi.org/10.1155/2022/2682287}
}

RIS

TY  - JOUR
TI  - Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.
AU  - Akram Abdulrazzaq A
AU  - Al-Douri AT
AU  - Abdullah Hamad A
AU  - Musa Jaber M
AU  - Meraf Z
PY  - 2022
JO  - Bioinorganic chemistry and applications
DO  - 10.1155/2022/2682287
UR  - https://doi.org/10.1155/2022/2682287
ER  -

APA

A, A. A., AT, A., A, A. H., M, M. J., & Z, M. (2022). Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.. Bioinorganic chemistry and applications. https://doi.org/10.1155/2022/2682287

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pubmed · retrieved 2026-09-25T13:32:11.499Z