CT2US: Cross-modal transfer learning for kidney segmentation in ultrasound images with synthesized data

This publication has 24 references indexed in Scilit:

• Deep MR to CT Synthesis Using Unpaired Data
  2017
• Classification of breast lesions using cross-modal deep learning
  2017
• Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images
  Journal of Digital Imaging, 2016
• Understanding the Mechanisms of Deep Transfer Learning for Medical Images
  2016
• Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
  IEEE Transactions on Medical Imaging, 2016
• Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
  IEEE Journal of Biomedical and Health Informatics, 2015
• Kidney segmentation in ultrasound via genetic initialization and Active Shape Models with rotation correction
  2013
• A Survey on Transfer Learning
  IEEE Transactions on Knowledge and Data Engineering, 2009
• Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention
  Medical Image Analysis, 2008
• Segmentation of kidney from ultrasound images based on texture and shape priors
  IEEE Transactions on Medical Imaging, 2005