Semi-automated use of thresholded prior results as annotations enables training one deep network that outperforms human-in-the-loop TIL prediction across 12 cancer types.
Journal of Clinical Pathol- ogy 72(2), 157–164 (2019)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types
Semi-automated use of thresholded prior results as annotations enables training one deep network that outperforms human-in-the-loop TIL prediction across 12 cancer types.