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MathWorks Inc
model resnet101 lime  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
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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,
Techniques: Comparison, Modification
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,
Techniques:
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,
Techniques:
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,
Techniques: Comparison
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,
Techniques: Comparison
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,
Techniques: Virus
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,
Techniques: Virus