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nasnetmobile  (Kaggle Inc)

 
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    Kaggle Inc nasnetmobile
    Characteristics of the included studies in the meta-analysis
    Nasnetmobile, supplied by Kaggle 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/nasnetmobile/product/Kaggle Inc
    Average 90 stars, based on 1 article reviews
    nasnetmobile - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis"

    Article Title: Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis

    Journal: BMC Psychiatry

    doi: 10.1186/s12888-024-06116-0

    Characteristics of the included studies in the meta-analysis
    Figure Legend Snippet: Characteristics of the included studies in the meta-analysis

    Techniques Used: Extraction, Imaging

    Classification performance of deep learning for ASD in the included studies
    Figure Legend Snippet: Classification performance of deep learning for ASD in the included studies

    Techniques Used:



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    Image Search Results


    Characteristics of the included studies in the meta-analysis

    Journal: BMC Psychiatry

    Article Title: Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis

    doi: 10.1186/s12888-024-06116-0

    Figure Lengend Snippet: Characteristics of the included studies in the meta-analysis

    Article Snippet: Alsaade et al. [ ] , Saudi Arabia , 300 , Kaggle , NASNetmobile, Xception, and DarkASDNet , face images.

    Techniques: Extraction, Imaging

    Classification performance of deep learning for ASD in the included studies

    Journal: BMC Psychiatry

    Article Title: Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis

    doi: 10.1186/s12888-024-06116-0

    Figure Lengend Snippet: Classification performance of deep learning for ASD in the included studies

    Article Snippet: Alsaade et al. [ ] , Saudi Arabia , 300 , Kaggle , NASNetmobile, Xception, and DarkASDNet , face images.

    Techniques: