An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
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DOI: 10.1002/mp.15982
Abstract: PURPOSE Task automation is essential for efficient and consistent image segmentation in radiation oncology. We report on a deep learning architecture, comprised of a U-Net and a variational autoencoder (VAE) for automatic contouring of the… read more here.
Keywords: source; net vae; dataset; vae ... See more keywords