National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Bayesovský odhad optimálních okamžiků snímání lymfoscintigrafických obrazů
Doyle, S. ; Quinn, A. ; Gebouský, Petr
Recent research has pioneered quantitative Bayesian methods for diagnosis of lymphedema. The effectiveness of this approach depends on the selection of optimal lymphoscintigraphic imaging times for the entire limb. This paper develops a multichannel parametric model of the arm and derives an expression for the optimal lymphoscintigraphic sampling times. The Bayesian inference algorithm is applied to an over-sampled scintigraphic image sequence, and an optimal subret of such images is inferred.

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