ConvNeXt-FD pairs a ConvNeXt backbone with fractal-dimension boundary regularization inside a U-Net and reports competitive Dice and related scores on six biomedical segmentation benchmarks.
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Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.
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ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation
ConvNeXt-FD pairs a ConvNeXt backbone with fractal-dimension boundary regularization inside a U-Net and reports competitive Dice and related scores on six biomedical segmentation benchmarks.
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Domain Fine-Tuning FinBERT on Finnish Histopathological Reports: Train-Time Signals and Downstream Correlations
Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.