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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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SoftMax Inc
resnet50 ![]() 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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SoftMax Inc
classifier with resnet-50 ![]() 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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TenCent Inc
3d-resnet50 ![]() 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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Broad Institute Inc
deepometry software resnet50 ![]() 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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MathWorks Inc
resnet 50 encoder ![]() 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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SusTech GmbH
resnet50 ![]() 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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Siemens Healthineers
imagenet pretrained encoder backbones ![]() 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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EyePACS LLC
resnet50 ![]() 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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Kaggle Inc
cnns ![]() 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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Tecno Chem CO LTD
resnet50 backbone ![]() 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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SoftMax Inc
model 10 ![]() 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
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Image Search Results
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:
Techniques: Activation Assay
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:
Techniques:
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:
Techniques:
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:
Techniques:
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:
Techniques:
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:
Techniques:
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:
Techniques:
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:
Techniques:
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:
Techniques: