1978
DOI: 10.2307/20624602
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Act and Artifact

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Cited by 14 publications
(9 citation statements)
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“…Semiquantitative assessment of valve regurgitation is not necessarily accurate for estimating the degree of the regurgitation at least partially because the regurgitant jet is subject to hemodynamics and other factors [11,12]. Because we have not correlated the size of regurgitant jet with the established index of the degree of regurgitation in this study, we cannot comment on the clinical value of DCPD regurgitant jet size assessment.…”
Section: Standard Echo Total Reg (+)mentioning
confidence: 82%
“…Semiquantitative assessment of valve regurgitation is not necessarily accurate for estimating the degree of the regurgitation at least partially because the regurgitant jet is subject to hemodynamics and other factors [11,12]. Because we have not correlated the size of regurgitant jet with the established index of the degree of regurgitation in this study, we cannot comment on the clinical value of DCPD regurgitant jet size assessment.…”
Section: Standard Echo Total Reg (+)mentioning
confidence: 82%
“…Da die Haller'schen Zellen lateral des Infundibulums gelegen sind, können diese auch bei einer diagnostischen Nasenendoskopie nicht erkannt werden, sehr wohl jedoch im Rahmen der Kieferhöhlenendoskopie. Das Vorliegen einer Haller'schen Zelle kann jedoch sehr leicht anhand von koronaren CT-Bildem, die zur Vermeidung von Komplikationen sowieso intraoperativ vorliegen sollen, erkannt werden (2,5). Für die endonasale Rhinochirurgie ergibt sich, daB die Haller'schen Zellen weit erdffnet werden müssen, urn dadurch die Engstelle im Bereich des Kieferhöhlenostiurns zu beseitigen.…”
Section: Einieitungunclassified
“…However, they are susceptible to differences in camera angle, scale, and cropping (Matthé et al, 2017), and are therefore unsuitable for animals that cannot be caught and photographed using a standardised methodology. By contrast, feature-based software packages, such as Wild-ID (Bolger, 2012), I 3 S-Pattern (Reijns, 2014) and Hotspotter (Crall et al, 2013), match images based on unique features including spots, stripes, blotches, or other marks. The algorithms that featurebased packages use vary, but all have a higher tolerance to differences in camera angle, scale, and lighting conditions than pixel-based algorithms.…”
Section: Introductionmentioning
confidence: 99%