Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).

Cheng H, Zheng G, Yang Y, Xu C, Tang G, Huang C

DOI: 10.3892/or.2026.9120
Published: 2026 Jun
Container: Oncology reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3892/or.2026.9120,
  title = {Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).},
  author = {Cheng H and Zheng G and Yang Y and Xu C and Tang G and Huang C},
  year = {2026},
  journal = {Oncology reports},
  doi = {10.3892/or.2026.9120},
  url = {https://doi.org/10.3892/or.2026.9120}
}

RIS

TY  - JOUR
TI  - Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).
AU  - Cheng H
AU  - Zheng G
AU  - Yang Y
AU  - Xu C
AU  - Tang G
AU  - Huang C
PY  - 2026
JO  - Oncology reports
DO  - 10.3892/or.2026.9120
UR  - https://doi.org/10.3892/or.2026.9120
ER  -

APA

H, C., G, Z., Y, Y., C, X., G, T., & C, H. (2026). Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).. Oncology reports. https://doi.org/10.3892/or.2026.9120

Source records

pubmed · retrieved 2026-11-10T06:53:27.039Z