CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network
Abstract
Purpose Accurate segmentation of the prostate on computed tomography (CT) for treatment planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging (MRI) has been used to aid prostate delineation, but its final accuracy is limited by MRI‐CT registration errors. We developed a deep attention‐based segmentation strategy on CT‐based synthetic MRI (sMRI) to deal with the CT prostate delineation challenge without MRI...
Paper Details
Title
CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network
Published Date
Dec 3, 2019
Journal
Volume
47
Issue
2
Pages
530 - 540
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