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Download scientific diagram | | (A) Comparative maps using the validation full size map-Test 1: U-net model using α-balanced Focal loss with γ = 10 as training loss function. A zoomed region is highlighted showing in detail the diverse constrains of the segmentation. (B) Probability maps per class using the validation full size map-Test 1: U-net model using α-balanced Focal loss with γ = 10 as training loss function. from publication: Towards the Identification and Classification of Solar Granulation Structures Using Semantic Segmentation | Solar granulation is the visible signature of convective cells at the solar surface. The granulation cellular pattern observed in the continuum intensity images is characterised by diverse structures e.g., bright individual granules of hot rising gas or dark intergranular | Granulation, Solar and Segmentation | ResearchGate, the professional network for scientists.
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Summary of the performance parameters per class calculated for the full