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2018 data bowl competition  (Kaggle Inc)

 
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    Kaggle Inc 2018 data bowl competition
    UNET dataset structure for phenotype segmentation models
    2018 Data Bowl Competition, 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/2018 data bowl competition/product/Kaggle Inc
    Average 90 stars, based on 1 article reviews
    2018 data bowl competition - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information"

    Article Title: Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information

    Journal: Discover Oncology

    doi: 10.1007/s12672-025-01896-7

    UNET dataset structure for phenotype segmentation models
    Figure Legend Snippet: UNET dataset structure for phenotype segmentation models

    Techniques Used:



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    UNET dataset structure for phenotype segmentation models

    Journal: Discover Oncology

    Article Title: Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information

    doi: 10.1007/s12672-025-01896-7

    Figure Lengend Snippet: UNET dataset structure for phenotype segmentation models

    Article Snippet: In addition to these datasets, another dataset comprising 110 H&E-stained images consisting solely of nuclei, from the 2018 Data Science Bowl Competition ( https://www.kaggle.com/c/data-science-bowl-2018 ), was used as an isolated experiment in the training process to verify epithelial cell segmentation.

    Techniques: