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Ultrasound needle segmentation and trajectory prediction using excitation network.

Jia Yi LeeMobarakol IslamJing Ru WohT S Mohamed WasheemLee Ying Clara NgohWeng Kin WongHongliang Ren
Published in: International journal of computer assisted radiology and surgery (2020)
Our novel model combining LinkNet and scSE shows a promising result for kidney biopsy application, which implies potential to other similar ultrasound-guided biopsies that require needle tracking and trajectory prediction.
Keyphrases
  • ultrasound guided
  • fine needle aspiration
  • deep learning
  • convolutional neural network
  • magnetic resonance imaging
  • human health
  • machine learning
  • network analysis
  • contrast enhanced ultrasound