inceptionv3 Search Results


inceptionv3 + softmax  (SoftMax Inc)
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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/result/inceptionv3 + softmax/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
inceptionv3 + softmax - by Bioz Stars, 2026-03
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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: