Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
Titel:
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
Auteur:
Saad, Maliazurina B Hong, Lingzhi Aminu, Muhammad Vokes, Natalie I Chen, Pingjun Salehjahromi, Morteza Qin, Kang Sujit, Sheeba J Lu, Xuetao Young, Elliana Al-Tashi, Qasem Qureshi, Rizwan Wu, Carol C Carter, Brett W Lin, Steven H Lee, Percy P Gandhi, Saumil Chang, Joe Y Li, Ruijiang Gensheimer, Michael F Wakelee, Heather A Neal, Joel W Lee, Hyun-Sung Cheng, Chao Velcheti, Vamsidhar Lou, Yanyan Petranovic, Milena Rinsurongkawong, Waree Le, Xiuning Rinsurongkawong, Vadeerat Spelman, Amy Elamin, Yasir Y Negrao, Marcelo V Skoulidis, Ferdinandos Gay, Carl M Cascone, Tina Antonoff, Mara B Sepesi, Boris Lewis, Jeff Wistuba, Ignacio I Hazle, John D Chung, Caroline Jaffray, David Gibbons, Don L Vaporciyan, Ara Lee, J Jack Heymach, John V Zhang, Jianjun Wu, Jia
Verschenen in:
The Lancet. Digital health
Paginering:
Jaargang 5 () nr. 7 pagina's e404-e420
Jaar:
2023
Inhoud:
Uitgever:
The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license