most citedMitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations

2 citations · 3 across the 3 of their papers we have counts for

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cs.LG2023

DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks

Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak +2

Federated learning is a promising direction to tackle the privacy issues related to sharing patients' sensitive data. Often, federated systems in the medical image analysis domain…

cs.LG2016★ 2 cited

Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations

Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad +3

Accurate subtyping of renal cell carcinoma (RCC) is of crucial importance for understanding disease progression and for making informed treatment decisions. New discoveries of sign…