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efficientnet-b0 model  (MobileODT Ltd)

 
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    MobileODT Ltd efficientnet-b0 model
    Summary of related work.
    Efficientnet B0 Model, supplied by MobileODT Ltd, 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/efficientnet-b0+model/pmc11519499-1-28-18?v=MobileODT+Ltd
    Average 90 stars, based on 1 article reviews
    efficientnet-b0 model - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies"

    Article Title: CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies

    Journal: Scientific Reports

    doi: 10.1038/s41598-024-76512-9

    Summary of related work.
    Figure Legend Snippet: Summary of related work.

    Techniques Used: Extraction, Biomarker Discovery, Diagnostic Assay, Selection



    Similar Products

    efficientnet-b0 model  (MobileODT Ltd)
    90
    MobileODT Ltd efficientnet-b0 model
    Summary of related work.
    Efficientnet B0 Model, supplied by MobileODT Ltd, 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/efficientnet-b0+model/pmc11519499-1-28-18?v=MobileODT+Ltd
    Average 90 stars, based on 1 article reviews
    efficientnet-b0 model - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Summary of related work.

    Journal: Scientific Reports

    Article Title: CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies

    doi: 10.1038/s41598-024-76512-9

    Figure Lengend Snippet: Summary of related work.

    Article Snippet: Tomko , Training standard DNNs and EfficientNet-B0 model , Investigated cervical cancer classification using datasets from Intel and MobileODT Cervical Cancer Screening competition, exploring training standard DNNs and EfficientNet-B0 model..

    Techniques: Extraction, Biomarker Discovery, Diagnostic Assay, Selection