8 citations · 20 across the 14 of their papers we have counts for
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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…
q-bio.QM2016★ 8 cited
Multi-Organ Cancer Classification and Survival Analysis
Stefan Bauer, Nicolas Carion, Peter Schüffler +3
Accurate and robust cell nuclei classification is the cornerstone for a wider range of tasks in digital and Computational Pathology. However, most machine learning systems require…