Multicenter validation of foundation model adaptation for automated pancreatic tumor delineation on CT scans

Halil Ertugrul Aktas,, Eminenur Sen Tasci, Linkai Peng, Muhammed Enes Tasci, Yavuz B. Taktak, Sitki Safa Taflan, Baver Tutun, Fergan Bol, Murat Iren, Mucahit Ekici, Andrea Mia Bejar, Elif Keles , Hongyi Pan, Wanying Dou, Burak Gultekin, Alper Akin, Oyku Ikizgul, Okan Cetin, Emre Uysal , Maide Mureva, Mustafa Orhan Nalbant, Nurullah Kaya, Alpay Medetalibeyoglu, Kadir Atakir0, Berna Akkus Yildirim, Gulbiz Dagoglu Kartal, Zongwei Zhou Sukru Mehmet Erturk, Frank H. Miller , Gorkem Durak and Ulas Bagci

Cancers2026

Read the paper BibTeX

Cite this work

BibTeX

Cite this work

Related publications

IPMN risk assessment with subregional radiomics and deep learning

Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis

Multi-center radiomics-deep lEarning fusion model for stratifying IPMN malignancy risk on MRI

Upstream probabilistic meta-imputation for multimodal pediatric pancreatitis classification

In-depth radiological and explainability analysis of deep learning predictions for IPMN risk stratification on MRI