Multi-task deep learning model for predicting EGFR mutation status in NSCLC.

Song Q, Li X, Song B, Ye W, Zhang T, Hu X, Cao C, Li A, Min X, Yu Y

DOI: 10.1038/s41746-026-03007-4
Published: 2026 Jul 20
Container: NPJ digital medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-026-03007-4,
  title = {Multi-task deep learning model for predicting EGFR mutation status in NSCLC.},
  author = {Song Q and Li X and Song B and Ye W and Zhang T and Hu X and Cao C and Li A and Min X and Yu Y},
  year = {2026},
  journal = {NPJ digital medicine},
  doi = {10.1038/s41746-026-03007-4},
  url = {https://doi.org/10.1038/s41746-026-03007-4}
}

RIS

TY  - JOUR
TI  - Multi-task deep learning model for predicting EGFR mutation status in NSCLC.
AU  - Song Q
AU  - Li X
AU  - Song B
AU  - Ye W
AU  - Zhang T
AU  - Hu X
AU  - Cao C
AU  - Li A
AU  - Min X
AU  - Yu Y
PY  - 2026
JO  - NPJ digital medicine
DO  - 10.1038/s41746-026-03007-4
UR  - https://doi.org/10.1038/s41746-026-03007-4
ER  -

APA

Q, S., X, L., B, S., W, Y., T, Z., X, H., C, C., A, L., X, M., & Y, Y. (2026). Multi-task deep learning model for predicting EGFR mutation status in NSCLC.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-03007-4

Source records

pubmed · retrieved 2026-09-25T23:12:38.803Z