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Predicting Total Knee Replacement Surgery Using Radiomic Features Extracted from MRI Scans

Author:Eros Montin Ozkan Cigdem Haresh Rajamohan Kyunghyun Cho Richard Kijowski Cem Deniz Riccardo Lattanzi

Session Type:Digital Poster

Session Date:Monday, 06 May 2024

Session Name:MSK Diagnosis & Treatment

Program Number:1690

Room Session:Exhibition Hall (Hall 403)

Institution:New York University Grossman School of Medicine, New York, New York, USA New York University, New York, NY, United States

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