Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.
- DOI
- 10.1016/s2589-7500(23)00082-1
- Published
- 2023 Jul
- Container
- The Lancet. Digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/s2589-7500-23-00082-1,
title = {Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.},
author = {Saad MB and Hong L and Aminu M and Vokes NI and Chen P and Salehjahromi M and Qin K and Sujit SJ and Lu X and Young E and Al-Tashi Q and Qureshi R and Wu CC and Carter BW and Lin SH and Lee PP and Gandhi S and Chang JY and Li R and Gensheimer MF and Wakelee HA and Neal JW and Lee HS and Cheng C and Velcheti V and Lou Y and Petranovic M and Rinsurongkawong W and Le X and Rinsurongkawong V and Spelman A and Elamin YY and Negrao MV and Skoulidis F and Gay CM and Cascone T and Antonoff MB and Sepesi B and Lewis J and Wistuba II and Hazle JD and Chung C and Jaffray D and Gibbons DL and Vaporciyan A and Lee JJ and Heymach JV and Zhang J and Wu J},
year = {2023},
journal = {The Lancet. Digital health},
doi = {10.1016/s2589-7500(23)00082-1},
url = {https://doi.org/10.1016/s2589-7500(23)00082-1}
}RIS
TY - JOUR TI - Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study. AU - Saad MB AU - Hong L AU - Aminu M AU - Vokes NI AU - Chen P AU - Salehjahromi M AU - Qin K AU - Sujit SJ AU - Lu X AU - Young E AU - Al-Tashi Q AU - Qureshi R AU - Wu CC AU - Carter BW AU - Lin SH AU - Lee PP AU - Gandhi S AU - Chang JY AU - Li R AU - Gensheimer MF AU - Wakelee HA AU - Neal JW AU - Lee HS AU - Cheng C AU - Velcheti V AU - Lou Y AU - Petranovic M AU - Rinsurongkawong W AU - Le X AU - Rinsurongkawong V AU - Spelman A AU - Elamin YY AU - Negrao MV AU - Skoulidis F AU - Gay CM AU - Cascone T AU - Antonoff MB AU - Sepesi B AU - Lewis J AU - Wistuba II AU - Hazle JD AU - Chung C AU - Jaffray D AU - Gibbons DL AU - Vaporciyan A AU - Lee JJ AU - Heymach JV AU - Zhang J AU - Wu J PY - 2023 JO - The Lancet. Digital health DO - 10.1016/s2589-7500(23)00082-1 UR - https://doi.org/10.1016/s2589-7500(23)00082-1 ER -
APA
MB, S., L, H., M, A., NI, V., P, C., M, S., K, Q., SJ, S., X, L., E, Y., Q, A., R, Q., CC, W., BW, C., SH, L., PP, L., S, G., JY, C., R, L., MF, G., HA, W., JW, N., HS, L., C, C., V, V., Y, L., M, P., W, R., X, L., V, R., A, S., YY, E., MV, N., F, S., CM, G., T, C., MB, A., B, S., J, L., II, W., JD, H., C, C., D, J., DL, G., A, V., JJ, L., JV, H., J, Z., & J, W. (2023). Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.. The Lancet. Digital health. https://doi.org/10.1016/s2589-7500(23)00082-1
Source records
- pubmed · retrieved 2026-09-26T09:17:58.701Z