resnet-50 Search Results


90
Carl Zeiss resnet50 model
Resnet50 Model, supplied by Carl Zeiss, 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/resnet-50/pmc11482640-186-7-17?v=Carl+Zeiss
Average 90 stars, based on 1 article reviews
resnet50 model - by Bioz Stars, 2026-07
90/100 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/resnet-50/pmc09046104-25-0-5?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-07
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/resnet-50/pm40596195-375-12-9?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
classifier with resnet-50 - by Bioz Stars, 2026-07
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/resnet-50/ppr0919389-251-2-12?v=TenCent+Inc
Average 90 stars, based on 1 article reviews
3d-resnet50 - by Bioz Stars, 2026-07
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/resnet-50/pmc09404284-226-23-19?v=Broad+Institute+Inc
Average 90 stars, based on 1 article reviews
deepometry software resnet50 - by Bioz Stars, 2026-07
90/100 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/resnet-50/pmc12082602-94-11-14?v=SusTech+GmbH
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-07
90/100 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/resnet-50/pmc10356902-6-2-0?v=EyePACS+LLC
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-07
90/100 stars
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90
myDATA GmbH 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 myDATA 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/resnet-50/10__1088_slash_1742___6596_slash_1937_slash_1_slash_012056-207-137-115?v=myDATA+GmbH
Average 90 stars, based on 1 article reviews
resnet50 - by Bioz Stars, 2026-07
90/100 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/resnet-50/pm38570373-111-10-13?v=Tecno+Chem+CO+LTD
Average 90 stars, based on 1 article reviews
resnet50 backbone - by Bioz Stars, 2026-07
90/100 stars
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90
MVTec Software GmbH resnet50 network
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 Network, supplied by MVTec Software 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/resnet-50/pmc11397818-78-2-20?v=MVTec+Software+GmbH
Average 90 stars, based on 1 article reviews
resnet50 network - by Bioz Stars, 2026-07
90/100 stars
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90
Cadx Systems Inc resnet-50
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.
Resnet 50, supplied by Cadx Systems 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/resnet-50/pmc10295325-396-34-19?v=Cadx+Systems+Inc
Average 90 stars, based on 1 article reviews
resnet-50 - by Bioz Stars, 2026-07
90/100 stars
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90
Johns Hopkins HealthCare resnet-50
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.
Resnet 50, supplied by Johns Hopkins HealthCare, 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/resnet-50/pmc07812355-20-30-22?v=Johns+Hopkins+HealthCare
Average 90 stars, based on 1 article reviews
resnet-50 - by Bioz Stars, 2026-07
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: