Deep attentional GAN-based high-resolution ultrasound imaging
Published: Mar 16, 2020
Abstract
A routine 3D transrectal ultrasound (TRUS) volume is usually captured with large slice thickness (e.g., 2-5mm). Such ultrasound images with low out-of-slice resolution affect contouring and needle/seed detection in prostate brachytherapy. The purpose of this study is to develop a deep-learning-based method to construct high-resolution images from routinely captured prostate ultrasound images for brachytherapy. We propose to integrate a deeply...
Paper Details
Title
Deep attentional GAN-based high-resolution ultrasound imaging
Published Date
Mar 16, 2020
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