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The aim of this study was to evaluate the fit of endocrowns fabricated from different CAD/CAM materials using a new 3D evaluation method with an intraoral scanning system.
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In this paper, we propose a new 3D evaluation method, using reversed images and an evaluation item of an incongruity.
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The aim of this study was to evaluate the fit of endocrowns fabricated from different CAD/CAM materials using a new 3D evaluation method with an intraoral scanning system.
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The recently introduced 3D evaluation method makes it possible to visually evaluate the error of the desired area.
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The 3D datasets were geometrically evaluated and compared to the reference data using 3D evaluation software.
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The clinical significance of this study lies in its 3D evaluation of MM volume, which should help the surgeon understand the biomechanical failure of MM function and improve MMPRT repair technique.
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BACKGROUND
The purpose of this study was to propose a novel method for 3D evaluation of bone and mucosal changes in removable partial denture (RPD) foundation area using a fusion of cone beam computed tomography (CBCT) and optical 3D images.
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All restorations were evaluated with standardized measurements using a scanning electron microscope (SEM) for 2D measurements, followed by standardized measurements using Geomagic Control, an engineering software program, which facilitated 3D evaluations of the specimens.
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With the use of 3D evaluation software, the 3D datasets were geometrically superimposed using a best-fit algorithm to evaluate precision and trueness.
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Assessing the impact of geometrical factors on the final hip range of motion (ROM) is not trivial, since it requires performing 3D evaluations.
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To achieve good enough data for 3D evaluation standard sensors are often insufficient, due to the necessary resolution and the production speed that requires high scanning frequency.
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The aim of this study was to analyse the growth pattern of the cranial shape of infants during the first years of life using 3D stereophotogrammetry and 3D computed tomography (CT) with advanced 3D evaluation techniques.
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These preliminary results demonstrated the feasibility of this technique to achieve comprehensive 3D evaluation of the mechanical responses of the posterior eye, which may provide mechanistic insights into the regional susceptibility in glaucoma.
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3D evaluation of the craniocervical junction and upper airways was conducted using InVivoTM.
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In this paper, we propose a noninvasive and robust 3D to 2D registration method, which can be used for 3D evaluations of the status of knee implants.
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Facial asymmetry was evaluated by superimposing a facial scan onto its mirror scan for each patient's 3D dataset using 3D evaluation software.
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The purpose of this study is to examine the validity of the 2D evaluation of muscular atrophy and fatty degeneration compared to 3D evaluation.
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The aim of this study was to evaluate the fit of endocrowns fabricated from different CAD/CAM materials using a new 3D evaluation method with an intraoral scanning system.
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CATIA 3D evaluation software was used to assess the digital STL files for the same variables as the CMM measurements.
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3D evaluation of RI values and corresponding RI images of nucleoli in live HeLa cells successfully demonstrated varying various physiological conditions.
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We demonstrate the feasibility of 3D evaluation with UMI to achieve highly sensitive detection of microvasculature using conventional line-by-line ultrasound imaging on a preclinical and commercially available high-frequency ultrasound device without software or hardware modifications.
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The main objective of this study was to provide a 3D evaluation of soft tissue effects following SARME and/or MMD.
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The recently introduced 3D evaluation method makes it possible to visually evaluate the error of the desired area.
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In this paper, we propose a new 3D evaluation method, using reversed images and an evaluation item of an incongruity.
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We believe that echocardiography is sufficient for the diagnosis of LVNC in experienced hands in most cases, particularly with 3D evaluation and contrast enhancement when indicated.
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This paper presents a unique approach utilizing the underlying standard metrics and creating internals 3D evaluation of fitness factors, a part of enhanced machine learning engine engineering.
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