The need for careful data collection for pattern recognition in digital pathology

Abstract

Effective pattern recognition requires carefully designed ground-truth datasets. In this technical note, we first summarize potential data collection issues in digital pathology and then propose guidelines to build more realistic ground-truth datasets and to control their quality. We hope our comments will foster the effective application of pattern recognition approaches in digital pathology.

Keywords

• Digital pathology
• ground truth
• object recognition
• pattern recognition
• quality control