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Advanced Search Results For "interpretation"

1 - 10 of 185,974 results for
 "interpretation"
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Missing Outcome Data in Epidemiologic Studies.

Publication Type: Academic Journal

Source(s): American journal of epidemiology [Am J Epidemiol] 2023 Jan 06; Vol. 192 (1), pp. 6-10.

Abstract: Missing data are pandemic and a central problem for epidemiology. Missing data reduce precision and can cause notable bias. There remain too few simple published examples detailing types of missing data and illustrating their possible impact on results...

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Simultaneous multi-slice T1 mapping using MOLLI with blipped CAIPIRINHA bSSFP.

Publication Type: Academic Journal

Source(s): Magnetic resonance imaging [Magn Reson Imaging] 2023 Jan; Vol. 95, pp. 90-102. Date of Electronic Publication: 2020 Apr 15.

Abstract: Background: This study evaluates the possibility for replacing conventional 3 slices, 3 breath-holds MOLLI cardiac T1 mapping with single breath-hold 3 simultaneous multi-slice (SMS3) T1 mapping using blipped-CAIPIRINHA SMS-bSSFP MOLLI sequence. As a m...

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Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.

Publication Type: Academic Journal

Source(s): European radiology [Eur Radiol] 2023 Jan; Vol. 33 (1), pp. 699-710. Date of Electronic Publication: 2022 Jul 21.

Abstract: Objectives: To assess the impact of a new artificial intelligence deep-learning reconstruction (Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction (IR) algorithm in abdominal CT for different clinical indication...

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Relevance of the College of American Pathologists guideline for validating whole slide imaging for diagnostic purposes to cytopathology.

Publication Type: Academic Journal

Source(s): Cytopathology : official journal of the British Society for Clinical Cytology [Cytopathology] 2023 Jan; Vol. 34 (1), pp. 5-14. Date of Electronic Publication: 2022 Sep 26.

Abstract: Whole slide imaging (WSI) allows pathologists to view virtual versions of slides on computer monitors. With increasing adoption of digital pathology, laboratories have begun to validate their WSI systems for diagnostic purposes according to reference g...

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Letter to the Editor: What is the value of statistical testing of observational data?

Publication Type: Editorial & Opinion

Source(s): Veterinary surgery : VS [Vet Surg] 2023 Jan; Vol. 52 (1), pp. 15-16. Date of Electronic Publication: 2022 Nov 04.

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Impact of a new deep-learning-based reconstruction algorithm on image quality in ultra-high-resolution CT: clinical observational and phantom studies.

Publication Type: Academic Journal

Source(s): The British journal of radiology [Br J Radiol] 2023 Jan 01; Vol. 96 (1141), pp. 20220731. Date of Electronic Publication: 2022 Dec 09.

Abstract: Objectives: To demonstrate the effect of an improved deep learning-based reconstruction (DLR) algorithm on Ultra-High-Resolution Computed Tomography (U-HRCT) scanners.Methods: Clinical and phantom studies were conducted. Thirty patients who underwent c...

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The Impact of Dental Artificial Intelligence for Radiograph Analysis.

Publication Type: Academic Journal

Source(s): Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995) [Compend Contin Educ Dent] 2023 Jan; Vol. 44 (1), pp. e1-e4.

Abstract: Dental artificial intelligence (AI) software can analyze and annotate radiographs in near real-time, transforming traditional gray-scale images into a color-coded diagnostic adjunct designed to draw the eye to potential pathologies. In this article, cl...

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Motion resilience of the balanced steady-state free precession geometric solution.

Publication Type: Academic Journal

Source(s): Magnetic resonance in medicine [Magn Reson Med] 2023 Jan; Vol. 89 (1), pp. 192-204. Date of Electronic Publication: 2022 Sep 12.

Abstract: Purpose: Many MRI sequences are sensitive to motion and its associated artifacts. The linearized geometric solution (LGS), a balanced steady-state free precession (bSSFP) off-resonance signal demodulation technique, is evaluated with respect to motion ...

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Accurate classification of lung nodules on CT images using the TransUnet.

Publication Type: Academic Journal

Source(s): Frontiers in public health [Front Public Health] 2022 Dec 05; Vol. 10, pp. 1060798. Date of Electronic Publication: 2022 Dec 05 (Print Publication: 2022).

Authors:

Abstract: Background: Computed tomography (CT) is an effective way to scan for lung cancer. The classification of lung nodules in CT screening is completely doctor dependent, which has drawbacks, including difficulty classifying tiny nodules, subjectivity, and h...

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Performance analyses of five neural network classifiers on nodule classification in lung CT images using WEKA: a comparative study.

Publication Type: Academic Journal

Source(s): Physical and engineering sciences in medicine [Phys Eng Sci Med] 2022 Dec; Vol. 45 (4), pp. 1193-1204. Date of Electronic Publication: 2022 Oct 31.

Authors:

Abstract: In this report, we are presenting our work on performance analyses of five different neural network classifiers viz. MLP, DL4JMLP, logistic regression, SGD and simple logistic classifier in lung nodule detection using WEKA interface. To the best of our...

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