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Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images

IntroductionTumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ultrasound (CEUS) imaging is an established method to assess tumor perfusion, which dir...

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Autori principali: Kyprianos Dimou, Floris Alexandrou, Yiannis Roussakis, Constantinos Zamboglou, Triantafyllos Stylianopoulos, Chrysovalantis Voutouri
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2026-06-01
Serie:Frontiers in Artificial Intelligence
Soggetti:
artificial intelligence
chemo-immunotherapy response
contrast-enhanced ultrasound imaging
convolutional neural network
deep learning
predictive biomarker
Accesso online:https://www.frontiersin.org/articles/10.3389/frai.2026.1805416/full
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