A parametric fitting algorithm for segmentation of cell images

H S Wu; J Barba; J Gil

doi:10.1109/10.661165

A parametric fitting algorithm for segmentation of cell images

IEEE Trans Biomed Eng. 1998 Mar;45(3):400-7. doi: 10.1109/10.661165.

Authors

H S Wu¹, J Barba, J Gil

Affiliation

¹ Department of Pathology, Mount Sinai School of Medicine, New York, NY 10029, USA.

PMID: 9509756
DOI: 10.1109/10.661165

Abstract

This paper presents a parametric fitting algorithm for segmentation of cervical and breast cell images from cytology smears. A parametric elliptical model for cells is introduced and the parameters adjusted to fit the cell shapes while minimizing a cost function. Segmentation results of noisy human cervical cell and textured breast cell images demonstrate that the proposed parametric fitting algorithm is very successful in segmentation of images of both nonoverlapped and overlapped elliptically shaped cells.

MeSH terms

Algorithms*
Breast / cytology*
Cervix Uteri / cytology*
Female
Humans
Image Interpretation, Computer-Assisted*
Image Processing, Computer-Assisted
Linear Models
Microscopy
Models, Biological
Models, Statistical*
Reference Values