Original paper
Ultrasound image simulation with generative adversarial network
Published: Mar 16, 2020
Abstract
PURPOSE: It is difficult to simulate realistic ultrasound images due to the complexity of acoustic artifacts that contribute to a real ultrasound image. We propose to evaluate the realism of ultrasound images simulated using a generative adversarial network. METHODS: To achieve our goal, kidney ultrasounds were collected, and relevant anatomy was segmented to create anatomical label-maps using 3D Slicer. Adversarial networks were trained to...
Paper Details
Title
Ultrasound image simulation with generative adversarial network
Published Date
Mar 16, 2020
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