Abstract:AI-based solutions for automated Gleason grading have been developed to assist pathologists to make rapid and quantitative assessments, but the generalization across various scanners and updating AI models continuously using new annotated data from end users remains a key bottleneck in the field. We proposed an comprehensive digital pathology workflow for AI-assisted Gleason grading, incorporating an image quality check software A!magQC, a cloud-based annotation platform A!HistoNotes and Pathologist-AI Interac… Show more
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