Article (Scientific journals)
The need for careful data collection for pattern recognition in digital pathology
Marée, Raphaël
2017In Journal of Pathology Informatics
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Keywords :
Pattern Recognition; Object Recognition; Digital Pathology; Ground-Truth; Quality Control
Abstract :
[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.
Research center :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Disciplines :
Computer science
Author, co-author :
Marée, Raphaël  ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
The need for careful data collection for pattern recognition in digital pathology
Publication date :
2017
Journal title :
Journal of Pathology Informatics
ISSN :
2229-5089
eISSN :
2153-3539
Publisher :
Wolters Kluwer Medknow Publications
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Histoweb
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie [BE]
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since 05 March 2017

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