Interpretable deep learning maps spatial morphological phenotypes to HCC and LUAD survival.

Liu Z, Wu Q, Lin H, Yang D, Tang C, Lu X, Zhao Y, Chen J, Wu Y, Chen Z, Liu H, Li Z, Liu Z, Madabhushi A, Lu C

DOI: 10.1016/j.xcrm.2026.103126
Published: 2026 Oct 29
Container: Cell reports. Medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.xcrm.2026.103126,
  title = {Interpretable deep learning maps spatial morphological phenotypes to HCC and LUAD survival.},
  author = {Liu Z and Wu Q and Lin H and Yang D and Tang C and Lu X and Zhao Y and Chen J and Wu Y and Chen Z and Liu H and Li Z and Liu Z and Madabhushi A and Lu C},
  year = {2026},
  journal = {Cell reports. Medicine},
  doi = {10.1016/j.xcrm.2026.103126},
  url = {https://doi.org/10.1016/j.xcrm.2026.103126}
}

RIS

TY  - JOUR
TI  - Interpretable deep learning maps spatial morphological phenotypes to HCC and LUAD survival.
AU  - Liu Z
AU  - Wu Q
AU  - Lin H
AU  - Yang D
AU  - Tang C
AU  - Lu X
AU  - Zhao Y
AU  - Chen J
AU  - Wu Y
AU  - Chen Z
AU  - Liu H
AU  - Li Z
AU  - Liu Z
AU  - Madabhushi A
AU  - Lu C
PY  - 2026
JO  - Cell reports. Medicine
DO  - 10.1016/j.xcrm.2026.103126
UR  - https://doi.org/10.1016/j.xcrm.2026.103126
ER  -

APA

Z, L., Q, W., H, L., D, Y., C, T., X, L., Y, Z., J, C., Y, W., Z, C., H, L., Z, L., Z, L., A, M., & C, L. (2026). Interpretable deep learning maps spatial morphological phenotypes to HCC and LUAD survival.. Cell reports. Medicine. https://doi.org/10.1016/j.xcrm.2026.103126

Source records

pubmed · retrieved 2026-11-10T13:12:33.949Z