A systematic review of machine and deep learning techniques for acute lymphoblastic leukemia diagnosis
- DOI
- 10.1016/j.artmed.2026.103393
- Published
- 2026-06
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103393,
title = {A systematic review of machine and deep learning techniques for acute lymphoblastic leukemia diagnosis},
author = {W. Hussain Shah and S. Rafia Fatima and R. Jaimes-Reátegui and D.E. Arévalo-Simental and P.T. Villalobos-Gutiérrez and A.N. Pisarchik},
year = {2026},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103393},
url = {https://doi.org/10.1016/j.artmed.2026.103393}
}RIS
TY - JOUR TI - A systematic review of machine and deep learning techniques for acute lymphoblastic leukemia diagnosis AU - W. Hussain Shah AU - S. Rafia Fatima AU - R. Jaimes-Reátegui AU - D.E. Arévalo-Simental AU - P.T. Villalobos-Gutiérrez AU - A.N. Pisarchik PY - 2026 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103393 UR - https://doi.org/10.1016/j.artmed.2026.103393 ER -
APA
Shah, W. H., Fatima, S. R., Jaimes-Reátegui, R., Arévalo-Simental, D., Villalobos-Gutiérrez, P., & Pisarchik, A. (2026). A systematic review of machine and deep learning techniques for acute lymphoblastic leukemia diagnosis. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103393
Source records
- crossref · retrieved 2026-09-27T16:00:00.136Z