Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-020-07566-2
Abstract: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR), hybrid iterative reconstruction (hybrid-IR), or model-based IR (MBIR) in comparison with standard-dose (SD) U-HRCT images reconstructed with… read more here.
Keywords: reduction; radiation dose; dlr; hrct ... See more keywords
Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.
Sign Up to like & getrecommendations! Published in 2022 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2022.110280
Abstract: PURPOSE This clinical and phantom study aimed to evaluate the impact of deep learning-based reconstruction (DLR) on image quality and its radiation dose optimization capability for multiphase hepatic CT relative to hybrid iterative reconstruction (HIR).… read more here.
Keywords: multiphase hepatic; dlr; image; phantom study ... See more keywords
DLR-supported overcurrent line protection for blackout prevention
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DOI: 10.1016/j.epsr.2017.10.009
Abstract: Abstract Analysis of recent blackouts over the past decade has indicated overloads as being responsible for initiation and development of most large area failures. The overload occurrences have also been found to correspond especially with… read more here.
Keywords: protection; relay; dlr; line ... See more keywords
A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/4034404
Abstract: The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients' data were used in this… read more here.
Keywords: dlr; esophageal cancer; survival; deep learning ... See more keywords
Association between the presence of distolingual root in mandibular first molars and the presence of C-shaped mandibular second molars: a CBCT study in a Taiwanese population.
Sign Up to like & getrecommendations! Published in 2020 at "Quintessence international"
DOI: 10.3290/j.qi.a45266
Abstract: OBJECTIVES The purpose of this study was to assess the prevalence of C-shaped canals in permanent mandibular second molars (SMs) and to determine whether its appearance was associated with the presence of distolingual root (DLR)… read more here.
Keywords: dlr; presence; root; anatomy ... See more keywords
Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT
Sign Up to like & getrecommendations! Published in 2022 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2021.0466
Abstract: Objective To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms. Materials and Methods Post-contrast abdominopelvic CT scans obtained from 120… read more here.
Keywords: dlr; pediatric abdominopelvic; algorithm; reconstruction ... See more keywords
Performance of D-dimer to lymphocyte ratio in predicting the mortality of COVID-19 patients
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cellular and Infection Microbiology"
DOI: 10.3389/fcimb.2022.1053039
Abstract: Background Nowadays, there is still no effective treatment developed for COVID-19, and early identification and supportive therapies are essential in reducing the morbidity and mortality of COVID-19. This is the first study to evaluate D-dimer… read more here.
Keywords: dlr; lymphocyte ratio; dimer lymphocyte; covid ... See more keywords