Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning

Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning

ObjectiveNeoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response to NAC for patients with Locally Advanced Breast Cancer (LABC) before treatment initiation could be beneficial to optimize therapy, ensuring the administration of...

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Bibliographic Details
Main Authors: Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael C. Kolios, Gregory J. Czarnota
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-05-01
Series:Frontiers in Oncology
Subjects:
neoadjuvant chemotherapy
LABC
deep learning
ViT transformer
response prediction and CT imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1359148/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1359148/full

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