H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning

Tao Peng, Caiyin Tang, Yiyun Wu, Jing Cai. H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning. International Journal of Computer Vision, 130(8):1896-1919, 2022. [doi]

@article{PengTWC22,
  title = {H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning},
  author = {Tao Peng and Caiyin Tang and Yiyun Wu and Jing Cai},
  year = {2022},
  doi = {10.1007/s11263-022-01619-3},
  url = {https://doi.org/10.1007/s11263-022-01619-3},
  researchr = {https://researchr.org/publication/PengTWC22},
  cites = {0},
  citedby = {0},
  journal = {International Journal of Computer Vision},
  volume = {130},
  number = {8},
  pages = {1896-1919},
}