title: A parametric fitting algorithm for segmentation of cell images.
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.
authors.affiliation: Department of Pathology, Mount Sinai School of Medicine, New York, NY 10029, USA.
authors.forename: H S
authors.initials: HS
authors.lastname: Wu
authors.forename: J
authors.initials: J
authors.lastname: Barba
authors.forename: J
authors.initials: J
authors.lastname: Gil
mesh_terms: D000465:Algorithms; D001940:Breast / Q000166:cytology*; D002584:Cervix Uteri / Q000166:cytology*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008853:Microscopy; D008954:Models, Biological; D015233:Models, Statistical; D012016:Reference Values