Performance evaluation of automated segmentation software on optical coherence tomography volume data.

@article{Tian2016PerformanceEO,
  title={Performance evaluation of automated segmentation software on optical coherence tomography volume data.},
  author={Jing Tian and Boglarka Varga and Erika T{\'a}trai and Palya Fanni and G{\'a}bor M{\'a}rk Somfai and William E. Smiddy and Delia Cabrera DeBuc},
  journal={Journal of biophotonics},
  year={2016},
  volume={9 5},
  pages={
          478-89
        }
}
Over the past two decades a significant number of OCT segmentation approaches have been proposed in the literature. Each methodology has been conceived for and/or evaluated using specific datasets that do not reflect the complexities of the majority of widely available retinal features observed in clinical settings. In addition, there does not exist an… CONTINUE READING