Reference : The need for careful data collection for pattern recognition in digital pathology
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/207896
The need for careful data collection for pattern recognition in digital pathology
English
Marée, Raphaël mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
2017
Journal of Pathology Informatics
Yes
International
[en] Pattern Recognition ; Object Recognition ; Digital Pathology ; Ground-Truth ; Quality Control
[en] 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.
Montefiore Institute of Electrical Engineering and Computer Science - Montefiore Institute
Région wallonne : Direction générale des Technologies, de la Recherche et de l'Energie - DGTRE
Histoweb
Researchers ; Professionals
http://hdl.handle.net/2268/207896
10.4103/jpi.jpi_94_16
http://www.jpathinformatics.org/

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