inceptionv3 + softmax (SoftMax Inc)
90
Structured Review
SoftMax Inc
inceptionv3 + softmax
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/inceptionv3+++softmax/inceptionv3+++softmax/pmc10093568-47-1-3
Average 90 stars, based on 1 article reviews
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/inceptionv3+++softmax/inceptionv3+++softmax/pmc10093568-47-1-3
Average 90 stars, based on 1 article reviews
inceptionv3 + softmax - by Bioz Stars,
2026-09
90/100 stars
Images
1) Product Images from "Simultaneous Super-Resolution and Classification of Lung Disease Scans"
Article Title: Simultaneous Super-Resolution and Classification of Lung Disease Scans
Journal: Diagnostics
doi: 10.3390/diagnostics13071319
Figure Legend Snippet: Results for pre-trained models using dataset #1.
Techniques Used:
Figure Legend Snippet: Results for pre-trained-MCSVM based models using dataset #1.
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Figure Legend Snippet: Results for pre-trained models with image SR using dataset #1.
Techniques Used:
Figure Legend Snippet: Results for pre-trained-MCSVM based models with image SR using dataset #1.
Techniques Used:
Figure Legend Snippet: Results for pre-trained models with image SR using dataset #2.
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Figure Legend Snippet: Results for pre-trained-MCSVM-based models with image SR using dataset #2.
Techniques Used:
Figure Legend Snippet: Results for pre-trained models with image SR using dataset #3.
Techniques Used:
Figure Legend Snippet: Results for pre-trained MCSVM-based models with image SR using dataset #3.
Techniques Used:
Figure Legend Snippet: The best results for pre-trained models with image super-resolution using the three datasets.
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Figure Legend Snippet: Computational time of the examined approaches using dataset #1.
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