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- W4385542951 abstract "Our objective of this study is to accurately segment and classify carotid atherosclerotic plaque components in a completely automated manner, based on multi-weighted MRI. Specifically, we segmented each pixel using a two-module neural network model. Furthermore, we generated segmentation uncertainty maps with a Bayesian method to evaluate the inherent uncertainty of this segmentation task." @default.
- W4385542951 created "2023-08-04" @default.
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- W4385542951 date "2023-08-03" @default.
- W4385542951 modified "2023-09-27" @default.
- W4385542951 title "Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network model" @default.
- W4385542951 doi "https://doi.org/10.58530/2022/4897" @default.
- W4385542951 hasPublicationYear "2023" @default.
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