deep residual neural network model resnet-50 Search Results


86
Kaggle Inc resnet50 svm
Resnet50 Svm, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+residual+neural+network+model+resnet-50/resnet50/pmc12331933-17-5-9
Average 86 stars, based on 1 article reviews
resnet50 svm - by Bioz Stars, 2026-09
86/100 stars
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90
SoftMax Inc resnet50
Hyper-parameter settings for different transfer learning models.
Resnet50, supplied by SoftMax 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/product/deep+residual+neural+network+model+resnet-50/resnet50/pmc09046104-25-0-5
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-09
90/100 stars
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90
SoftMax Inc classifier with resnet-50
Hyper-parameter settings for different transfer learning models.
Classifier With Resnet 50, supplied by SoftMax 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/product/deep+residual+neural+network+model+resnet-50/classifier+with+resnet+50/pm40596195-375-12-9
Average 90 stars, based on 1 article reviews
classifier with resnet-50 - by Bioz Stars, 2026-09
90/100 stars
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90
TenCent Inc 3d-resnet50
Hyper-parameter settings for different transfer learning models.
3d Resnet50, supplied by TenCent 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/product/deep+residual+neural+network+model+resnet-50/resnet50/ppr0919389-251-2-12
Average 90 stars, based on 1 article reviews
3d-resnet50 - by Bioz Stars, 2026-09
90/100 stars
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90
Broad Institute Inc deepometry software resnet50
Hyper-parameter settings for different transfer learning models.
Deepometry Software Resnet50, supplied by Broad Institute 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/product/deep+residual+neural+network+model+resnet-50/resnet50+backbone/pmc09404284-226-23-19
Average 90 stars, based on 1 article reviews
deepometry software resnet50 - by Bioz Stars, 2026-09
90/100 stars
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96
MathWorks Inc resnet 50 encoder
Hyper-parameter settings for different transfer learning models.
Resnet 50 Encoder, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+residual+neural+network+model+resnet-50/Deep+Learning+Toolbox/pm34871894-184-9-16
Average 96 stars, based on 1 article reviews
resnet 50 encoder - by Bioz Stars, 2026-09
96/100 stars
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90
SusTech GmbH resnet50
Hyper-parameter settings for different transfer learning models.
Resnet50, supplied by SusTech GmbH, 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/deep+residual+neural+network+model+resnet-50/resnet50+backbone/pmc12082602-94-11-14
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-09
90/100 stars
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86
Siemens Healthineers imagenet pretrained encoder backbones
Hyper-parameter settings for different transfer learning models.
Imagenet Pretrained Encoder Backbones, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+residual+neural+network+model+resnet-50/backbones+encoder+imagenet+pretrained/pm41673142-318-18-50
Average 86 stars, based on 1 article reviews
imagenet pretrained encoder backbones - by Bioz Stars, 2026-09
86/100 stars
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90
EyePACS LLC resnet50
Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.
Resnet50, supplied by EyePACS LLC, 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/deep+residual+neural+network+model+resnet-50/resnet50/pmc10356902-6-2-0
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-09
90/100 stars
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86
Kaggle Inc cnns
Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.
Cnns, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+residual+neural+network+model+resnet-50/cnns/10__1002_slash_widm__1546-137-4-9
Average 86 stars, based on 1 article reviews
cnns - by Bioz Stars, 2026-09
86/100 stars
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90
Tecno Chem CO LTD resnet50 backbone
Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.
Resnet50 Backbone, supplied by Tecno Chem CO LTD, 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/deep+residual+neural+network+model+resnet-50/resnet50+backbone/pm38570373-111-10-13
Average 90 stars, based on 1 article reviews
resnet50 backbone - by Bioz Stars, 2026-09
90/100 stars
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90
SoftMax Inc model 10
Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.
Model 10, supplied by SoftMax 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/product/deep+residual+neural+network+model+resnet-50/model+10/pmc07249188-252-2-15
Average 90 stars, based on 1 article reviews
model 10 - by Bioz Stars, 2026-09
90/100 stars
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Image Search Results


Hyper-parameter settings for different transfer learning models.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Hyper-parameter settings for different transfer learning models.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques: Activation Assay

Result of the transfer learning models without using Dropout.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Result of the transfer learning models without using Dropout.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Result of the transfer learning models with Dropout and a FC connected layer at the end.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Result of the transfer learning models with Dropout and a FC connected layer at the end.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Result of the transfer learning models with Dropout and two FC layers with 128 and 64 neurons.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Result of the transfer learning models with Dropout and two FC layers with 128 and 64 neurons.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Result of the transfer learning models without using Dropout and three FC layers with 256, 128, and 64 neurons respectively.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Result of the transfer learning models without using Dropout and three FC layers with 256, 128, and 64 neurons respectively.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Result of the transfer learning models with Dropout and four FC layers with 512, 256, 128, and 64 neurons respectively and taking their ensemble.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Result of the transfer learning models with Dropout and four FC layers with 512, 256, 128, and 64 neurons respectively and taking their ensemble.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Average execution time taken by transfer learning models.

Journal: Computers & Electrical Engineering

Article Title: Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning

doi: 10.1016/j.compeleceng.2022.108018

Figure Lengend Snippet: Average execution time taken by transfer learning models.

Article Snippet: ResNet50 (M2) , 100 , Softmax , 16 , Binary crossentropy , Adam , 0.001.

Techniques:

Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.

Journal: Frontiers in Bioinformatics

Article Title: Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

doi: 10.3389/fbinf.2023.1194993

Figure Lengend Snippet: Weighted average F1-scores of all trained models on the respective test datasets. For models trained with Differential Privacy, the utilized privacy budget ϵ is given in brackets.

Article Snippet: EyePACS , ResNet50 , 86.72 , 87.39 , 82.29 (05).

Techniques:

Weighted average F1-scores of  ResNet50  models trained on ISIC and EyePACS with differential privacy ( ϵ = 10) under different imbalanced training settings.

Journal: Frontiers in Bioinformatics

Article Title: Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

doi: 10.3389/fbinf.2023.1194993

Figure Lengend Snippet: Weighted average F1-scores of ResNet50 models trained on ISIC and EyePACS with differential privacy ( ϵ = 10) under different imbalanced training settings.

Article Snippet: EyePACS , ResNet50 , 86.72 , 87.39 , 82.29 (05).

Techniques: