Deep Learning for FAST Quality Assessment.

Mesfin TayeDustin MorrowJohn CullDane Hudson SmithMartin Hagan

Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2022)

Using an autoencoder to compress FAST images is a very effective way to obtain features that can be used to predict exam quality. These features are more suitable than those obtained from CNNs pretrained on Imagenet.

Keyphrases

deep learning
convolutional neural network
machine learning
optical coherence tomography