Segmentation of cervical cell nucleus using Intersecting Cortical Model optimized by Particle Swarm Optimization

@article{Tang2015SegmentationOC,
  title={Segmentation of cervical cell nucleus using Intersecting Cortical Model optimized by Particle Swarm Optimization},
  author={Jing Rui Tang and Nor Ashidi Mat Isa and Ewe Seng Ch'ng},
  journal={2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE)},
  year={2015},
  pages={111-116}
}
Changes in the morphology of cervical cell nucleus are one of the most important features to be observed during Pap-smear screening. In this study, Intersecting Cortical Model (ICM) was employed to segment the nucleus from cervical cell images. The four unknown parameters in ICM were optimized by Particle Swarm Optimization (PSO). Two hundred and fifty test… CONTINUE READING