Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Robin Camarasa, Daniël Bos, Jeroen Hendrikse, Paul J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
Topics & Concepts
Computer scienceArtificial intelligenceSegmentationCalibrationBayesian probabilityImage segmentationDropout (neural networks)Artificial neural networkMachine learningMonte Carlo methodPattern recognition (psychology)Data miningStatisticsMathematicsMedical Image Segmentation TechniquesAdvanced X-ray and CT ImagingRadiomics and Machine Learning in Medical Imaging