Original paper
USDL: Inexpensive Medical Imaging Using Deep Learning Techniques and Ultrasound Technology
Published: Apr 6, 2020
Abstract
In this study, we present USDL, a novel model that employs deep learning algorithms in order to reconstruct and enhance corrupted ultrasound images. We utilize an unsupervised neural network called an autoencoder which works by compressing its input into a latent-space representation and then reconstructing the output from this representation. We trained our model on a dataset that compromises of 15,700 in vivo images of the neck, wrist, elbow,...
Paper Details
Title
USDL: Inexpensive Medical Imaging Using Deep Learning Techniques and Ultrasound Technology
Published Date
Apr 6, 2020
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