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Found 2 papers, 1 papers with code
A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
In this study, we address this problem by implementing a neural network based method that uses a U-Net architecture to segment the brain area into a mask and removing the skull and other tissues from the image.
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
The goals are to simplify the training and usage of deep learning methods for computer vision and facilitate its integration into graph extraction pipelines.
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