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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 11 to 13 of 13 (0.046 seconds)Spelling suggestions: "subject:"biomedizinische anbautechnik"" "subject:"biomedizinische ankertechnik""
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Differentiation of Occlusal Discolorations and Carious Lesions with Hyperspectral Imaging In VitroVosahlo, Robin, Golde, Jonas, Walther, Julia, Koch, Edmund, Hannig, Christian, Tetschke, Florian 19 April 2024 (has links)
Stains and stained incipient lesions can be challenging to differentiate with established clinical tools. New diagnostic techniques are required for improved distinction to enable early noninvasive treatment. This in vitro study evaluates the performance of artificial intelligence (AI)-based classification of hyperspectral imaging data for early occlusal lesion detection and differentiation from stains. Sixty-five extracted permanent human maxillary and mandibular bicuspids and molars (International Caries Detection and Assessment System [ICDAS] II 0–4) were imaged with a hyperspectral camera (Diaspective Vision TIVITA® Tissue, Diaspective Vision, Pepelow, Germany) at a distance of 350 mm, acquiring spatial and spectral information in the wavelength range 505–1000 nm; 650 fissural spectra were used to train classification algorithms (models) for automated distinction between stained but sound enamel and stained lesions. Stratified 10-fold cross-validation was used. The model with the highest classification performance, a fine k-nearest neighbor classification algorithm, was used to classify five additional tooth fissural areas. Polarization microscopy of ground sections served as reference. Compared to stained lesions, stained intact enamel showed higher reflectance in the wavelength range 525–710 nm but lower reflectance in the wavelength range 710–1000 nm. A fine k-nearest neighbor classification algorithm achieved the highest performance with a Matthews correlation coefficient (MCC) of 0.75, a sensitivity of 0.95 and a specificity of 0.80 when distinguishing between intact stained and stained lesion spectra. The superposition of color-coded classification results on further tooth occlusal projections enabled qualitative assessment of the entire fissure’s enamel health. AI-based evaluation of hyperspectral images is highly promising as a complementary method to visual and radiographic examination for early occlusal lesion detection.
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Transient integral boundary layer method to simulate entrance flow conditions in one-dimensional arterial blood flow / Zeitabhängige Integralrandschichtmethode zur Simulation von eindimensionalen arteriellen Blutströmungen im EinlassbereichBernhard, Stefan 12 October 2006 (has links)
No description available.
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Klonieren und Charakterisieren von P/Q-Typ-Calciumkanälen für Mikroskopie an lebenden Zellen / Cloning and characterization of P/Q-type calcium channels for live cell imagingJuha, Martin 03 September 2013 (has links)
No description available.
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