## Segmentation Uncertainty(세분화 불확실성)란 무엇입니까?

Segmentation Uncertainty 세분화 불확실성 - We then quantify the segmentation uncertainty in two forms and employ them together to guide the consistency regularization for more reliable unsupervised learning.^{[1]}While different probabilistic segmentation models are designed to capture different aspects of segmentation uncertainty and ambiguity, these modelling differences are rarely discussed in the context of applications of uncertainty.

^{[2]}Next to the Bayesian fully convolutional neural network, we also present inherent measures of segmentation uncertainty that allow for quality control per brain structure.

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^{[1]}다양한 확률적 분할 모델이 분할 불확실성 및 모호성의 다양한 측면을 포착하도록 설계되었지만 이러한 모델링 차이점은 불확실성 적용의 맥락에서 거의 논의되지 않습니다.

^{[2]}베이지안 완전 컨볼루션 신경망 옆에 뇌 구조당 품질 관리를 허용하는 분할 불확실성의 고유한 측정값도 제시합니다.

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