Figure 2 from Development and Validation of a Multimodal–Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in HR-Positive Early Breast Cancer

Eleftherios P. Mamounas, Ming Chen, Joseph A. Sparano, Md Ashequr Rahman, Yating Cheng, Victoria Wang, Robert J. Gray, Priya Rastogi, Eghbal Amidi, Charles E. Geyer, Tommy Boucher, Tanner J. Freeman, Mohammadreza Ramzanpour, Mukund Varma, Hassan Ghani, Caleb Cheng, Casey Bales, Jennifer R. Ribeiro, Hanna Bandos, Nicolas Stransky, Mark R. Miglarese, Matthew J. Oberley, David Spetzler, Milan Radovich, George W. Sledge, Norman Wolmark

原始摘要（英文原文）· Original abstract

Kaplan–Meier analysis of DR in the NSABP B-42 translational cohort according to MI Clarity M3T risk groups. A, All patients. B, ELT-treated group. C, Placebo group. High- and low-risk groups are defined by the M3T model.

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Figure 2 from Development and Validation of a Multimodal–Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in HR-Positive Early Breast Cancer

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