Crowd disagreement about medical images is informative

21 Jun 2018Veronika CheplyginaJosien P. W. Pluim

Classifiers for medical image analysis are often trained with a single consensus label, based on combining labels given by experts or crowds. However, disagreement between annotators may be informative, and thus removing it may not be the best strategy... (read more)

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