Boxplots displaying KL divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).

Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the KL divergence between pairs of Gaus...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Diana C. de Oliveira (9220729) (author)
مؤلفون آخرون:	Hani Cheikh Sleiman (19812765) (author), Kelly Payette (17584953) (author), Jana Hutter (9649694) (author), Lisa Story (9649688) (author), Joseph V. Hajnal (15217415) (author), Daniel C. Alexander (9466684) (author), Rebecca J. Shipley (11098888) (author), Paddy J. Slator (19812768) (author)
منشور في:	2024
الموضوعات:	Biophysics Physiology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified yielding vascular structures unlike previous volume sensitivity analysis highlights generating vascular structures facilitating oxygen exchange different topological metrics following branching laws branching angles play placental vascular network placental health issues novel generative algorithm flexible generative algorithm vascular architecture correlates key morphological parameters vessel length variations ex vivo </ morphological parameters vivo </ vessel length branching angle vessel diameter silico </ placental vasculatures placental vasculature placental shape placental function xlink "> successful pregnancy pivotal role physiologically underpinned nutrient transport murray ’ law ), input settings individual components filling algorithms early detection controlled customisation complete structure chorionic vessels
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الملخص:	<p>Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the <i>KL</i> divergence between pairs of Gaussians from the output space. With 50 algorithm runs, this results in 1225 Gaussian combinations and <i>KL</i> divergence values per output metric, represented for (A) chorionic vessels, (B) healthy villous vessels, and (C) FGR-associated villous vessels. (D) A similar analysis using 50 healthy and 50 FGR fetal trees was conducted, focusing on healthy-dysfunctional output metric pairs to derive the <i>KL</i> divergence.</p>

Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).

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