Investigating Shift Variance of Convolutional Neural Networks in Ultrasound Image Segmentation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering and the PERFORM Centre, Concordia University, Montreal, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
NSERC CRC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/58/9763860/09743460.pdf?arnumber=9743460
Reference59 articles.
1. Visualizing and Understanding Convolutional Networks
2. Shift-Invariant Segmentation in Breast Ultrasound Images
3. A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation
4. Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images
5. Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment
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