1 citations · 2 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
Lucas Farndale, Robert Insall, Ke Yuan
Computational pathology models rarely utilise data that will not be available for inference. This means most models cannot learn from highly informative data such as additional imm…
eess.IV2023★ 1 cited
More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data
Lucas Farndale, Robert Insall, Ke Yuan
Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data. Despite the progress, practical use of advanced imaging technologies…