English

3D Ultrasound image segmentation: A Survey

Computer Vision and Pattern Recognition 2016-11-30 v1

Abstract

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segmentation in the literature have been considered as a three-dimensional approach by mistake but we review them as a three-dimensional technique. We select the studies that have addressed the problem of medical three-dimensional Ultrasound image segmentation utilizing their proposed techniques. The evaluation methods and comparison between them are presented and tabulated in terms of evaluation techniques, interactivity, and robustness.

Keywords

Cite

@article{arxiv.1611.09811,
  title  = {3D Ultrasound image segmentation: A Survey},
  author = {Mohammad Hamed Mozaffari and WonSook Lee},
  journal= {arXiv preprint arXiv:1611.09811},
  year   = {2016}
}
R2 v1 2026-06-22T17:08:28.483Z