Journal of Pathology Informatics Journal of Pathology Informatics
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TECHNICAL NOTE
Year : 2017  |  Volume : 8  |  Issue : 1  |  Page : 19

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


Department of Electrical Engineering and Computer Science, Montefiore Institute, University of Liége, 4000 Liége, Belgium

Correspondence Address:
Raphaël Marée
Department of Electrical Engineering and Computer Science, Montefiore Institute (B28), University of Liége, Quartier Polytech 1, Allée de la Découverte 10, 4000 Liége
Belgium
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jpi.jpi_94_16

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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.


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