inception-v3 Search Results


90
EyePACS LLC inception-v3 architecture
Summary of related work.
Inception V3 Architecture, 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/inception-v3/pmc08200077-7-7-25?v=EyePACS+LLC
Average 90 stars, based on 1 article reviews
inception-v3 architecture - by Bioz Stars, 2026-07
90/100 stars
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90
SoftMax Inc inceptionv3 + softmax
Results for pre-trained models using dataset #1.
Inceptionv3 + Softmax, 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/inception-v3/pmc10093568-44-1-3?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
inceptionv3 + softmax - by Bioz Stars, 2026-07
90/100 stars
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90
Tsang MD Inc inception-v3 model
Results for pre-trained models using dataset #1.
Inception V3 Model, supplied by Tsang MD 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/inception-v3/pmc09132765-159-14-20?v=Tsang+MD+Inc
Average 90 stars, based on 1 article reviews
inception-v3 model - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
IEEE Access inception-v3 transfer learning
Results for pre-trained models using dataset #1.
Inception V3 Transfer Learning, supplied by IEEE Access, 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/inception-v3/ppr0956540-472-6-10?v=IEEE+Access
Average 90 stars, based on 1 article reviews
inception-v3 transfer learning - by Bioz Stars, 2026-07
90/100 stars
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90
EyePACS LLC remidio software inception-v3 network
Results for pre-trained models using dataset #1.
Remidio Software Inception V3 Network, 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/inception-v3/pmc07155252-52-7-15?v=EyePACS+LLC
Average 90 stars, based on 1 article reviews
remidio software inception-v3 network - by Bioz Stars, 2026-07
90/100 stars
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86
Kaggle Inc inception v3
Results for pre-trained models using dataset #1.
Inception V3, 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/inception-v3/pmc12518656-15-14-24?v=Kaggle+Inc
Average 86 stars, based on 1 article reviews
inception v3 - by Bioz Stars, 2026-07
86/100 stars
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90
Informa UK Limited inception v3 models
Results for pre-trained models using dataset #1.
Inception V3 Models, supplied by Informa UK Limited, 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/inception-v3/10__1080_slash_21681163__2021__1922315-46-12-2?v=Informa+UK+Limited
Average 90 stars, based on 1 article reviews
inception v3 models - by Bioz Stars, 2026-07
90/100 stars
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86
Mendeley Ltd inceptionv3
Results for pre-trained models using dataset #1.
Inceptionv3, supplied by Mendeley Ltd, 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/inception-v3/pmc12858912-65-0-2?v=Mendeley+Ltd
Average 86 stars, based on 1 article reviews
inceptionv3 - by Bioz Stars, 2026-07
86/100 stars
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Image Search Results


Summary of related work.

Journal: Sensors (Basel, Switzerland)

Article Title: ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection

doi: 10.3390/s21113883

Figure Lengend Snippet: Summary of related work.

Article Snippet: 2017, Kanungo et al. [ ] , Inception-v3 architecture , Accuracy of 82% and 88% for a batch size of 64 and 128, respectively , EyePACS.

Techniques: Biomarker Discovery, Activation Assay

Results for pre-trained models using dataset #1.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained models using dataset #1.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained-MCSVM based models using dataset #1.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained-MCSVM based models using dataset #1.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained models with image SR using dataset #1.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained models with image SR using dataset #1.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained-MCSVM based models with image SR using dataset #1.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained-MCSVM based models with image SR using dataset #1.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained models with image SR using dataset #2.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained models with image SR using dataset #2.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained-MCSVM-based models with image SR using dataset #2.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained-MCSVM-based models with image SR using dataset #2.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained models with image SR using dataset #3.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained models with image SR using dataset #3.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Results for pre-trained MCSVM-based models with image SR using dataset #3.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Results for pre-trained MCSVM-based models with image SR using dataset #3.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

The best results for pre-trained models with image super-resolution using the three datasets.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: The best results for pre-trained models with image super-resolution using the three datasets.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques:

Computational time of the examined approaches using dataset #1.

Journal: Diagnostics

Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans

doi: 10.3390/diagnostics13071319

Figure Lengend Snippet: Computational time of the examined approaches using dataset #1.

Article Snippet: , Inceptionv3 + Softmax , 93.85 , 92.64 , 96.86 , 92.20 , 90.02 , 92.56 , 0.0534.

Techniques: