Is prone to errors, not scalable and where success is overwhelmingly determined by the skill of the experimenter. Traditionally, given a new problem, a tailored solution needs to be manually designed and optimized - a process that Image sizes, voxel sizes, class ratio, target structure properties and more change substantially between datasets. Image datasets are enormously diverse: image dimensionality (2D, 3D), modalities/input channels (RGB image, CT, MRI, microscopy. Reading the rest of the documentation is still strongly recommended -) What is nnU-Net? Click here if you were looking for the old one instead.Ĭoming from V1? Check out the TLDR Migration Guide.
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