Microscopy from Scientific Research

Open access visualization of Microscopy, Illustration, MRI, Convolutional Neural Network, Fat phase
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Two-dimensional projections are created by computing the mean pixel intensity along the coronal and sagittal axes. Two images for each participant were used as inputs into the convolutional neural network: one consisting of the coronal and sagittal two-dimensional projections in the fat phase, and another consisting of the same projections in the water phase.

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