Research progress and challenges of multimodal deep learning models for prognosis of gastric cancer.

Bo Y, Hongyi C, Hao L

DOI: 10.1007/s12672-026-05431-0
Published: 2026 Jun 18
Container: Discover oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s12672-026-05431-0,
  title = {Research progress and challenges of multimodal deep learning models for prognosis of gastric cancer.},
  author = {Bo Y and Hongyi C and Hao L},
  year = {2026},
  journal = {Discover oncology},
  doi = {10.1007/s12672-026-05431-0},
  url = {https://doi.org/10.1007/s12672-026-05431-0}
}

RIS

TY  - JOUR
TI  - Research progress and challenges of multimodal deep learning models for prognosis of gastric cancer.
AU  - Bo Y
AU  - Hongyi C
AU  - Hao L
PY  - 2026
JO  - Discover oncology
DO  - 10.1007/s12672-026-05431-0
UR  - https://doi.org/10.1007/s12672-026-05431-0
ER  -

APA

Y, B., C, H., & L, H. (2026). Research progress and challenges of multimodal deep learning models for prognosis of gastric cancer.. Discover oncology. https://doi.org/10.1007/s12672-026-05431-0

Source records

pubmed · retrieved 2026-09-25T10:52:19.300Z