cnn model with inception-v3 based software Search Results


cnn inceptionv3 model  (EyePACS LLC)
90
EyePACS LLC cnn inceptionv3 model
Heatmap generated for <t>InceptionV3-trained</t> models using guided backpropagation.
Cnn Inceptionv3 Model, 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/cnn+model+with+inception-v3+based+software/inception+v3/pmc11410932-51-23-27
Average 90 stars, based on 1 article reviews
cnn inceptionv3 model - by Bioz Stars, 2026-10
90/100 stars
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inception v3 cnn  (Kaggle Inc)
86
Kaggle Inc inception v3 cnn
Heatmap generated for <t>InceptionV3-trained</t> models using guided backpropagation.
Inception V3 Cnn, 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/cnn+model+with+inception-v3+based+software/inception+v3/10__1109_slash_access__2025__3607992-140-11-16
Average 86 stars, based on 1 article reviews
inception v3 cnn - by Bioz Stars, 2026-10
86/100 stars
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resnet-50  (SoftMax Inc)
90
SoftMax Inc resnet-50
Heatmap generated for <t>InceptionV3-trained</t> models using guided backpropagation.
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/cnn+model+with+inception-v3+based+software/resnet50/pm31877442-260-43-35
Average 90 stars, based on 1 article reviews
resnet-50 - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
alzenet  (Kaggle Inc)
86
Kaggle Inc alzenet
Heatmap generated for <t>InceptionV3-trained</t> models using guided backpropagation.
Alzenet, 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/cnn+model+with+inception-v3+based+software/alzenet/pm42250854-447-5-14
Average 86 stars, based on 1 article reviews
alzenet - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

Image Search Results


Heatmap generated for InceptionV3-trained models using guided backpropagation.

Journal: Scientific Reports

Article Title: A comparative evaluation of deep learning approaches for ophthalmology

doi: 10.1038/s41598-024-72752-x

Figure Lengend Snippet: Heatmap generated for InceptionV3-trained models using guided backpropagation.

Article Snippet: Classification, in particular, has been well-documented, with Lily Peng et al. demonstrating high specificity and sensitivity in detecting Diabetic Retinopathy (DR) using the CNN InceptionV3 model on Eyepacs DR-graded images.

Techniques: Generated

List of architectures and accuracy (in %) of each dataset for multiclass problem.

Journal: Scientific Reports

Article Title: A comparative evaluation of deep learning approaches for ophthalmology

doi: 10.1038/s41598-024-72752-x

Figure Lengend Snippet: List of architectures and accuracy (in %) of each dataset for multiclass problem.

Article Snippet: Classification, in particular, has been well-documented, with Lily Peng et al. demonstrating high specificity and sensitivity in detecting Diabetic Retinopathy (DR) using the CNN InceptionV3 model on Eyepacs DR-graded images.

Techniques:

Performance metrics of grading classifiers.

Journal: Scientific Reports

Article Title: A comparative evaluation of deep learning approaches for ophthalmology

doi: 10.1038/s41598-024-72752-x

Figure Lengend Snippet: Performance metrics of grading classifiers.

Article Snippet: Classification, in particular, has been well-documented, with Lily Peng et al. demonstrating high specificity and sensitivity in detecting Diabetic Retinopathy (DR) using the CNN InceptionV3 model on Eyepacs DR-graded images.

Techniques:

Accuracy (in %) of CNN classifiers on different 2D OCT datasets.

Journal: Scientific Reports

Article Title: A comparative evaluation of deep learning approaches for ophthalmology

doi: 10.1038/s41598-024-72752-x

Figure Lengend Snippet: Accuracy (in %) of CNN classifiers on different 2D OCT datasets.

Article Snippet: Classification, in particular, has been well-documented, with Lily Peng et al. demonstrating high specificity and sensitivity in detecting Diabetic Retinopathy (DR) using the CNN InceptionV3 model on Eyepacs DR-graded images.

Techniques: