| Literature DB >> 9509756 |
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.Entities:
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Year: 1998 PMID： 9509756 DOI： 10.1109/10.661165
Source DB: PubMed Journal: IEEE Trans Biomed Eng ISSN： 0018-9294 Impact factor: 4.538