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Application of convolutional neural networks for image segmentation of biological datasets

The image demonstrates application of DeepMIB software for segmentation of 2D and 3D light and electron microscopy datasets. DeepMIB can train convolutional neural networks and apply them to segment multidimensional biological datasets. DeepMIB comes in a single, easy to install package bundled with Microscopy Image Browser. Its utilization does not require programming skills nor large knowledge about deep learning and, thus, is suitable for everyone. Belevich and Jokitalo (2021)

Image Credit: Ilya Belevich