A parametric fitting algorithm for segmentation of cell images

Hai Shan Wu; Joseph Barba; Joan Gil

doi:10.1109/10.661165

A parametric fitting algorithm for segmentation of cell images

Hai Shan Wu, Joseph Barba, Joan Gil

Research output: Contribution to journal › Article › peer-review

106 Scopus citations

Abstract

This paper presents a parametric fitting algorithm for segmentation of cervical and breast cells 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.

Original language	English
Pages (from-to)	400-407
Number of pages	8
Journal	IEEE Transactions on Biomedical Engineering
Volume	45
Issue number	3
DOIs	https://doi.org/10.1109/10.661165
State	Published - Mar 1998
Externally published	Yes

Keywords

Biomedical image processing
Cell images
Quantitative pathology
Segmentation

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10.1109/10.661165

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title = "A parametric fitting algorithm for segmentation of cell images",

abstract = "This paper presents a parametric fitting algorithm for segmentation of cervical and breast cells 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.",

keywords = "Biomedical image processing, Cell images, Quantitative pathology, Segmentation",

author = "Wu, \{Hai Shan\} and Joseph Barba and Joan Gil",

year = "1998",

month = mar,

doi = "10.1109/10.661165",

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AU - Barba, Joseph

AU - Gil, Joan

PY - 1998/3

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N2 - This paper presents a parametric fitting algorithm for segmentation of cervical and breast cells 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.

AB - This paper presents a parametric fitting algorithm for segmentation of cervical and breast cells 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.

KW - Biomedical image processing

KW - Cell images

KW - Quantitative pathology

KW - Segmentation

UR - https://www.scopus.com/pages/publications/0032031330

U2 - 10.1109/10.661165

DO - 10.1109/10.661165

M3 - Article

C2 - 9509756

AN - SCOPUS:0032031330

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 3

ER -

A parametric fitting algorithm for segmentation of cell images

Abstract

Keywords

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