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Aleatoric and Epistemic Uncertainty in Image Segmentation
Kilian Maurus Zepf
Visual Computing
Department of Applied Mathematics and Computer Science
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Book/Report
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Ph.D. thesis
205
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Dive into the research topics of 'Aleatoric and Epistemic Uncertainty in Image Segmentation'. Together they form a unique fingerprint.
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Engineering
Epistemic Uncertainty
100%
Aleatoric Uncertainty
100%
Computervision
66%
Uncertainty Quantification
66%
Integral Part
33%
Bayesian Framework
33%
Medical Image
33%
Neuroscience
Neural Network
100%
Chemical Engineering
Neural Network
100%
Keyphrases
Lack of Expertise
25%
Segmentation Architecture
25%
Downstream Decisions
25%