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Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
A popular approach to tackling this problem is patch-based method, which divides a large image into small patches and trains the models with these small patches.
Data-parallel distributed training of very large models beyond GPU capacity
GPUs have limited memory and it is difficult to train wide and/or deep models that cause the training process to go out of memory.
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