When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
Abstract
In clinical practice, as a first approximation, the severity of an abnormality on an image is often determined by measuring its volume. Researchers often first segment this abnormality with a neural network trained by voxel-wise labels and thereafter extract the volume. Instead of this indirect two steps approach, we propose to train neural networks directly using the volumes as image-level label and predict the volume directly. Using...
Paper Details
Title
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
Published Date
Apr 12, 2020
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