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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

Ahmed Z Alsinan1, Vishal M Patel2, Ilker Hacihaliloglu3,4

  • 1Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA. ahmed.alsinan@rutgers.edu.

International Journal of Computer Assisted Radiology and Surgery
|July 14, 2020
PubMed
Summary

This study introduces a new generative adversarial network (GAN) method for real-time ultrasound bone shadow segmentation. The approach improves bone localization accuracy in orthopedic procedures, offering a promising alternative to traditional imaging techniques.

Keywords:
BoneDeep learningGenerative adversarial networkOrthopedic surgerySegmentationUltrasound

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