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Model for Ki-67 Proliferation Index Predicton, Trained End-to-End on Routine Diagnostic Data
2025-06-26
pathology
Title + abstract only
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For breast cancer, the Ki-67 index gives important information on the patients prognosis and may predict the response to therapy. However, semi-automated methods for Ki-67 index calculation are prone to intra-and inter-observer variability, while fully automated machine learning models based on nuclei segmentation, classification and counting require training on large datasets with precise annotations down to the level of individual nuclei, which are hard to obtain. We design a neural network th...
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