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tensorflow keras library  (MathWorks Inc)


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    Structured Review

    MathWorks Inc tensorflow keras library
    The extracted characteristics of reviewed papers
    Tensorflow Keras Library, supplied by MathWorks Inc, 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/result/tensorflow keras library/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    tensorflow keras library - by Bioz Stars, 2026-06
    90/100 stars

    Images

    1) Product Images from "Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19"

    Article Title: Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19

    Journal: Journal of Medical Signals and Sensors

    doi: 10.4103/jmss.jmss_111_21

    The extracted characteristics of reviewed papers
    Figure Legend Snippet: The extracted characteristics of reviewed papers

    Techniques Used: Activation Assay, Selection, Software, Biomarker Discovery, Infection, Labeling, Diagnostic Assay, Comparison



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    Image Search Results


    The extracted characteristics of reviewed papers

    Journal: Journal of Medical Signals and Sensors

    Article Title: Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19

    doi: 10.4103/jmss.jmss_111_21

    Figure Lengend Snippet: The extracted characteristics of reviewed papers

    Article Snippet: Ko et al .[ ] , 5-fold-cross- validation: 3993 images , Chest CT images , Tensorflow Keras library Python MatLab , Datasets were collected from hospitals SIRM Interventional Radiology public database , The proposed method provides excellent diagnostic performance in detecting COVID-19 pneumonia.

    Techniques: Activation Assay, Selection, Software, Biomarker Discovery, Infection, Labeling, Diagnostic Assay, Comparison

    The extracted characteristics of reviewed papers

    Journal: Journal of Medical Signals and Sensors

    Article Title: Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19

    doi: 10.4103/jmss.jmss_111_21

    Figure Lengend Snippet: The extracted characteristics of reviewed papers

    Article Snippet: Islam et al .[ ] , 5-fold-cross- validation: 4575 images , CXR images , Python Keras library Tensorflow , GitHub Radiopaedia encyclopedia RIDER-TCIA SIRM Kaggle repository NIH , The proposed system can help doctors to diagnose and treat COVID-19 patients easily.

    Techniques: Activation Assay, Selection, Software, Biomarker Discovery, Infection, Labeling, Diagnostic Assay, Comparison