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model resnet101 lime  (MathWorks Inc)


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    Structured Review

    MathWorks Inc model resnet101 lime
    Comparison of the suggested strategy against the current one to validate it.
    Model Resnet101 Lime, 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/model resnet101 lime/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    model resnet101 lime - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network"

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    Journal: Diagnostics

    doi: 10.3390/diagnostics13091639

    Comparison of the suggested strategy against the current one to validate it.
    Figure Legend Snippet: Comparison of the suggested strategy against the current one to validate it.

    Techniques Used: Comparison, Modification

    Depicts architecture of ResNet101.
    Figure Legend Snippet: Depicts architecture of ResNet101.

    Techniques Used:

    Performance of ResNet101.
    Figure Legend Snippet: Performance of ResNet101.

    Techniques Used:

    The comparison of mean precision, mean sensitivity, mean specificity, mean accuracy and mean F-score over the 5-fold cross-validation.
    Figure Legend Snippet: The comparison of mean precision, mean sensitivity, mean specificity, mean accuracy and mean F-score over the 5-fold cross-validation.

    Techniques Used: Comparison

    Performance comparison of state-of-the-art method.
    Figure Legend Snippet: Performance comparison of state-of-the-art method.

    Techniques Used: Comparison

    ( a – f ) Depicts the confusion matrices of monkeypox virus and other images for VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.
    Figure Legend Snippet: ( a – f ) Depicts the confusion matrices of monkeypox virus and other images for VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Techniques Used: Virus

    ( a – f ) Depicts the predicted probability scores of monkeypox virus and other images by VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.
    Figure Legend Snippet: ( a – f ) Depicts the predicted probability scores of monkeypox virus and other images by VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Techniques Used: Virus



    Similar Products

    model resnet101 lime  (MathWorks Inc)
    90
    MathWorks Inc model resnet101 lime
    Comparison of the suggested strategy against the current one to validate it.
    Model Resnet101 Lime, 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/model resnet101 lime/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    model resnet101 lime - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Comparison of the suggested strategy against the current one to validate it.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: Comparison of the suggested strategy against the current one to validate it.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques: Comparison, Modification

    Depicts architecture of ResNet101.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: Depicts architecture of ResNet101.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques:

    Performance of ResNet101.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: Performance of ResNet101.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques:

    The comparison of mean precision, mean sensitivity, mean specificity, mean accuracy and mean F-score over the 5-fold cross-validation.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: The comparison of mean precision, mean sensitivity, mean specificity, mean accuracy and mean F-score over the 5-fold cross-validation.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques: Comparison

    Performance comparison of state-of-the-art method.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: Performance comparison of state-of-the-art method.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques: Comparison

    ( a – f ) Depicts the confusion matrices of monkeypox virus and other images for VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: ( a – f ) Depicts the confusion matrices of monkeypox virus and other images for VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques: Virus

    ( a – f ) Depicts the predicted probability scores of monkeypox virus and other images by VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Journal: Diagnostics

    Article Title: Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

    doi: 10.3390/diagnostics13091639

    Figure Lengend Snippet: ( a – f ) Depicts the predicted probability scores of monkeypox virus and other images by VGG-16, VGG-19, ResNet50, ResNet101, DenseNet201 and AlexNet, respectively.

    Article Snippet: One of the top models, ResNet101 LIME, has the best MATLAB results, as seen in .

    Techniques: Virus