Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis.

Al-Obeidat F, Hafez W, Rashid A, Jallo MK, Gador M, Cherrez-Ojeda I, Simancas-Racines D

Open source

DOI
10.3389/fdata.2024.1402926
Published
2024
Container
Frontiers in big data
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fdata.2024.1402926,
  title = {Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis.},
  author = {Al-Obeidat F and Hafez W and Rashid A and Jallo MK and Gador M and Cherrez-Ojeda I and Simancas-Racines D},
  year = {2024},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2024.1402926},
  url = {https://doi.org/10.3389/fdata.2024.1402926}
}

RIS

TY  - JOUR
TI  - Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis.
AU  - Al-Obeidat F
AU  - Hafez W
AU  - Rashid A
AU  - Jallo MK
AU  - Gador M
AU  - Cherrez-Ojeda I
AU  - Simancas-Racines D
PY  - 2024
JO  - Frontiers in big data
DO  - 10.3389/fdata.2024.1402926
UR  - https://doi.org/10.3389/fdata.2024.1402926
ER  - 

APA

F, A., W, H., A, R., MK, J., M, G., I, C., & D, S. (2024). Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis.. Frontiers in big data. https://doi.org/10.3389/fdata.2024.1402926

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