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 oncology 29(6), 610–618 (2011)
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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.