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software’s built-in matching algorithm siemens syngovia oncology lung computer-aided detection [cad]  (Siemens AG)

 
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    Siemens AG software’s built-in matching algorithm siemens syngovia oncology lung computer-aided detection [cad]
    Software’s Built In Matching Algorithm Siemens Syngovia Oncology Lung Computer Aided Detection [Cad], supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cad+algorithm/software%E2%80%99s+built+in+matching+algorithm+siemens+syngovia+oncology+lung+computer+aided+detection++cad+/pmc10531743-88-14-15
    Average 90 stars, based on 1 article reviews
    software’s built-in matching algorithm siemens syngovia oncology lung computer-aided detection [cad] - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Abstracts From the 2011 European Society of Thoracic Imaging–Fleischner Society Meeting
    Article Snippet: G. Noeldge, B. Radeleff, U. Stampfl, and H.U.. Kauczor.. University Hospital Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany.

    Article Title: Swiss Pilot Low-Dose CT Lung Cancer Screening Study: First Baseline Screening Results.
    Article Snippet: In all, sca nodules were auto atically detected and measured by the software’s built-in matching algorithm (Siemens SyngoVia MM oncology lung computeraided detection [CAD]) and the maximum diameter was double-checked by the radiologists.

    Article Title: Swiss Pilot Low-Dose CT Lung Cancer Screening Study: First Baseline Screening Results
    Article Snippet: In all, scan nodules were automatically detected and measured by the software’s built-in matching algorithm (Siemens SyngoVia MM oncology lung computer-aided detection [CAD]) and the maximum diameter was double-checked by the radiologists.

    Article Title: Swiss Pilot Low-Dose CT Lung Cancer Screening Study: First Baseline Screening Results.
    Article Snippet: In all, scan nodules were automatically detected and measured by the software’s built-in matching algorithm (Siemens SyngoVia MM oncology lung computeraided detection [CAD]) and the maximum diameter was double-checked by the radiologists.

    Article Title: Scientific Sessions
    Article Snippet: S137 B Friday ....................... 139 Saturday ................... 197 Sunday ..................... 243 Monday .................... 271 Tuesday .................... 303

    Article Title: Nationwide lung cancer screening with low-dose computed tomography: implementation and first results of the HUNCHEST screening program.
    Article Snippet: Objectives Lung cancer (LC) kills more people than any other cancer in Hungary.. Hence, there is a clear rationale for considering a national screening program.. TheHUNCHEST pilot program primarily aimed to investigate the feasibility of a population-based LC screening in Hungary, and determine the incidence and LC probability of solitary pulmonary nodules.

    Software:

    Article Title: Artificial intelligence applications for thoracic imaging.
    Article Snippet: Artificial intelligence is a hot topic in medical imaging.. The development of deep learning methods and in particular the use of convolutional neural networks (CNNs), have led to substantial performance gain over the classic machine learning techniques.. Multiple usages are currently being evaluated, especially for thoracic imaging, such as such as lung nodule evaluation, tuberculosis or pneumonia detection or quantification of diffuse lung diseases.

    Article Title: Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume
    Article Snippet: .. The lung CAD algorithm evaluated in this study was a commercial software version available since 2006 (LungCAD VB10A, Siemens AG Healthcare) [ ]. ..



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    Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade
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    Image Search Results


    Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Comparison, Imaging

    Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Imaging

    Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Imaging