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In this paper we present a stochastic relaxation method based on Bayesian decision theory for voxel classification in medical images. The labels are continuous (as opposed to discrete) values representing the degree of belief that a voxel belongs to a certain object class. In the Bayesian Decision approach, the solution to the labeling problem is constrained by specifying an a priori model...
Recipients of stem cell transplants (SCT) must accurately manage multiple medications as non‐adherence jeopardises treatment benefits. There is an evidence base for the efficacy of adherence‐enhancing interventions; however, level of clinical implementation is unknown. This study aimed to identify patterns of practice in assessing medication adherence, screening for risk factors of non‐adherence,...
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