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alexnet (feature extraction)  (SoftMax Inc)

 
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    Structured Review

    SoftMax Inc alexnet (feature extraction)
    <t>AlexNet</t> Architecture used for COVID-19 classification .
    Alexnet (Feature Extraction), 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/alexnet+(feature+extraction)/alexnet/pmc09597575-2-46-50
    Average 90 stars, based on 1 article reviews
    alexnet (feature extraction) - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging"

    Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

    Journal: Ipem-Translation

    doi: 10.1016/j.ipemt.2022.100008

    AlexNet Architecture used for COVID-19 classification .
    Figure Legend Snippet: AlexNet Architecture used for COVID-19 classification .

    Techniques Used:

    A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .
    Figure Legend Snippet: A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .

    Techniques Used:

    Summary of recent DL techniques for COVID-19 diagnosis.
    Figure Legend Snippet: Summary of recent DL techniques for COVID-19 diagnosis.

    Techniques Used: Biomarker Discovery, Extraction, Activation Assay, Bacteria, Preserving, Shear, Infection, Sampling, Blocking Assay

    Related Articles

    Extraction:

    Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging
    Article Snippet: .. , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87. .. , X-ray , COVIDx , 76 COVID-19, 1583 Normal, 4290 Pneumonia Img. , 80%:10%:10% , Hold-out , NA , Supervised , Data Augmentation, RGB format, Normalizing , COVID-19 from Other Pneumonia , NA , COVIDiag-nosis-Net (Based on Deep SqueezeNet with Bayes Optimization) , Decision-Making System , Class Activation Mapping Visualization (Heat Map) , Acc=98.3, Spe=99.13, F1-Score=98.3.



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    Image Search Results


    AlexNet Architecture used for COVID-19 classification .

    Journal: Ipem-Translation

    Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

    doi: 10.1016/j.ipemt.2022.100008

    Figure Lengend Snippet: AlexNet Architecture used for COVID-19 classification .

    Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

    Techniques:

    A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .

    Journal: Ipem-Translation

    Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

    doi: 10.1016/j.ipemt.2022.100008

    Figure Lengend Snippet: A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .

    Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

    Techniques:

    Summary of recent DL techniques for COVID-19 diagnosis.

    Journal: Ipem-Translation

    Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

    doi: 10.1016/j.ipemt.2022.100008

    Figure Lengend Snippet: Summary of recent DL techniques for COVID-19 diagnosis.

    Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

    Techniques: Biomarker Discovery, Extraction, Activation Assay, Bacteria, Preserving, Shear, Infection, Sampling, Blocking Assay