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the pre-trained shufflenet model  (MathWorks Inc)


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    MathWorks Inc the pre-trained shufflenet model
    The Pre Trained Shufflenet Model, 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/the pre-trained shufflenet model/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    the pre-trained shufflenet model - by Bioz Stars, 2026-04
    90/100 stars

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    the pre-trained shufflenet model  (MathWorks Inc)
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    MathWorks Inc the pre-trained shufflenet model
    The Pre Trained Shufflenet Model, 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
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    shufflenet model  (MathWorks Inc)
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    Pre-trained <t> ShuffleNet </t> hyperparameters setting.
    Shufflenet Model, 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
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    Pre-trained ShuffleNet hyperparameters setting.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: Pre-trained ShuffleNet hyperparameters setting.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques:

    Atrophic Gastritis ShuffleNet structure.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: Atrophic Gastritis ShuffleNet structure.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques:

    Structure summaries for Atrophic Gastritis ShuffleNet.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: Structure summaries for Atrophic Gastritis ShuffleNet.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques: Activation Assay

    Confusion matrix with results analyzed from the testing data executed via pre-trained ShuffleNet.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: Confusion matrix with results analyzed from the testing data executed via pre-trained ShuffleNet.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques:

    Results based on precision, recall, specificity, and accuracy matrices for the pre-trained ShuffleNet and proposed method.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: Results based on precision, recall, specificity, and accuracy matrices for the pre-trained ShuffleNet and proposed method.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques:

    F1-score result for the pre-trained ShuffleNet and proposed method.

    Journal: Diagnostics

    Article Title: H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

    doi: 10.3390/diagnostics13030336

    Figure Lengend Snippet: F1-score result for the pre-trained ShuffleNet and proposed method.

    Article Snippet: This work employed the pre-trained ShuffleNet model already implemented in MATLAB ® Version 2021.

    Techniques: