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Background:
Quantitative immunohistochemistry (IHC) is an integral part of histopathology reporting, providing vital information such as tumour characterisation and prognosis. Ki-67 proliferation index has traditionally been manually estimated on light microscopy over several fields of view, a laborious task given to interobserver variation. AI can potentially overcome this. We chose to evaluate the performance of an AI assistance tool for grading of sarcomas.
