A probabilistic tissue classification metric for MR-US guided prostate core-needle biopsies with explicit modelling of localization uncertainty.

OBJECTIVE: Develop a spatially resolved probabilistic framework that explicitly models localization uncer-
tainty to map along-core tissue-class sampling probabilities Pi(z) for MR-informed, US-guided transperineal
prostate biopsies, yielding…

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