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inceptionresnet-v2  (EyePACS LLC)

 
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    EyePACS LLC inceptionresnet-v2
    Evaluation of the system's efficiency against prior studies using the APTOS dataset.
    Inceptionresnet V2, 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/inceptionresnet-v2/inceptionresnet+v2/pmc10521302-150-15-21
    Average 90 stars, based on 1 article reviews
    inceptionresnet-v2 - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Enhancing diabetic retinopathy classification using deep learning"

    Article Title: Enhancing diabetic retinopathy classification using deep learning

    Journal: Digital Health

    doi: 10.1177/20552076231203676

    Evaluation of the system's efficiency against prior studies using the APTOS dataset.
    Figure Legend Snippet: Evaluation of the system's efficiency against prior studies using the APTOS dataset.

    Techniques Used: Plasmid Preparation

    Related Articles

    Plasmid Preparation:

    Article Title: Enhancing diabetic retinopathy classification using deep learning
    Article Snippet: In addition, Liu et al. employed several TL models including EfficientNetB4, EfficientNetB5, NASNetLarge, Xception, and InceptionResNet-V2 to predict DR from the EyePACS dataset.



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    Image Search Results


    Evaluation of the system's efficiency against prior studies using the APTOS dataset.

    Journal: Digital Health

    Article Title: Enhancing diabetic retinopathy classification using deep learning

    doi: 10.1177/20552076231203676

    Figure Lengend Snippet: Evaluation of the system's efficiency against prior studies using the APTOS dataset.

    Article Snippet: In addition, Liu et al. employed several TL models including EfficientNetB4, EfficientNetB5, NASNetLarge, Xception, and InceptionResNet-V2 to predict DR from the EyePACS dataset.

    Techniques: Plasmid Preparation