Corpus ID: 226956106

A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning

@article{Chen2020ASO,
  title={A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning},
  author={E. Chen and T. Mathai and Vinit Sarode and Howie Choset and J. Galeotti},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.07019}
}

E. Chen, T. Mathai, +2 authors J. Galeotti

Published 2020

Computer Science, Engineering

ArXiv

Identifying landmarks in the femoral area is crucial for ultrasound (US) -based robot-guided catheter insertion, and their presentation varies when imaged with different scanners. As such, the performance of past deep learning-based approaches is also narrowly limited to the training data distribution; this can be circumvented by fine-tuning all or part of the model, yet the effects of fine-tuning are seldom discussed. In this work, we study the US-based segmentation of multiple classes through… CONTINUE READING

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