QuPath-based manual annotation and training data generation for AI histopathology diagnosis and grading
Performed basic annotations and image analysis of histopathology slides using QuPath, including region-of-interest identification and classification. Generated training data by performing QuPath-based manual annotations on approximately 200 H&E breast cancer slides. Applied these labeled datasets to support AI model development for histopathological diagnosis and grading. • Manual annotation of histopathology slide regions • ROI identification and classification workflow • Label generation for AI training dataset • Quality/consistency support for diagnosis and grading tasks