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Cyst-X: A Federated AI System Outperforms Clinical Guidelines to Detect Pancreatic Cancer Precursors and Reduce Unnecessary Surgery

Fuente: arXiv

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Bibliographic Details
Main Authors:	Pan, Hongyi, Durak, Gorkem, Keles, Elif, Seyithanoglu, Deniz, Zhang, Zheyuan, Medetalibeyoglu, Alpay, Aktas, Halil Ertugrul, Bejar, Andrea Mia, Hong, Ziliang, Taktak, Yavuz, Kartal, Gulbiz Dagoglu, Erturk, Mehmet Sukru, Cebeci, Timurhan, Gonzalez, Maria Jaramillo, Velichko, Yury, Zhao, Lili, Agarunov, Emil, Salanitri, Federica Proietto, Spampinato, Concetto, Tiwari, Pallavi, Xu, Ziyue, Jambawalikar, Sachin, Schoots, Ivo G., Bruno, Marco J., Huang, Chenchan, Bolan, Candice W., Gonda, Tamas, Miller, Frank H., Keswani, Rajesh N., Wallace, Michael B., Bagci, Ulas
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2507.22017