3D Modeling and segmentation (html, pdf) 1: how to open dataset and start a new model 2: brush, shape interpolation, local thresholding 3: membrane tracker and line interpolation 4: improving nuclear envelope 5: thresholding with statistical filtering 6: magic wand and Frangi filter 7: random forest classifier 8: fixing mitochondria and final visualization |
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Semi-automatic graphcut segmentation |
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3D Lines for skeletons and measurements |
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DeepMIBL Deep-learning segmentation using 2.5D Depth-to-Colors workflow in MIB DeepMIB: 2D U-net for image segmentation DeepMIB: 3D U-net for image segmentation DeepMIB: code-free development and deployment of deep segmentation models for digital pathology |
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DeepMIB: 2D patch-wise workflow DeepMIB: Deep learning segmentation projects of FIB-SEM dataset of a U2-OS cell |