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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: