Describing ultrasound video content using deep convolutional neural networks

Abstract

We address the task of object recognition in obstetric ultrasound videos using deep Convolutional Neural Networks (CNNs). A transfer learning based design is presented to study the transferability of features learnt from natural images to ultrasound image object recognition which on the surface is a very different problem. Our results demonstrate that CNNs… (More)
DOI: 10.1109/ISBI.2016.7493384

Topics

6 Figures and Tables

Cite this paper

@article{Gao2016DescribingUV, title={Describing ultrasound video content using deep convolutional neural networks}, author={Y. Gao and Mohammad Ali Maraci and J. Alison Noble}, journal={2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)}, year={2016}, pages={787-790} }