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Content provider: PaN Training

and Keywords: Image segmentation

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7 materials found
  • Using BioImage.IO models for image analysis in Galaxy

    Deep learning Image annotation Image segmentation analyses
  • Nucleoli segmentation and feature extraction using CellProfiler

    Image segmentation Multi-channel image Object feature extraction analyses
  • Voronoi segmentation

    Image segmentation Multi-channel image Object counting Overlay Tessellation analyses
  • Introduction to Image Analysis using Galaxy

    Conversion Image segmentation Object counting Overlay introduction
  • Training Custom YOLO Models for Segmentation of Bioimages

    Deep learning Image annotation Image segmentation advanced
  • End-to-End Tissue Microarray Image Analysis with Galaxy-ME

    Image segmentation Tissue imaging analyses
  • Analyse HeLa fluorescence siRNA screen

    Fluorescence microscopy High-throughput screening Image segmentation Image thresholding Object feature extraction analyses
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TeSSHub has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.