From cell image segmentation to differential diagnosis of thyroid cancer

Author

Ablameyko, S. ; Kirillov, V. ; Lagunovsky, D. ; Patsko, O. ; Paramonova, N. ; Petrou, M. ; Tchij, O.

Author_Institution

Inst. of Eng. Cybern., Acad. of Sci., Minsk, Belarus

Volume

1

fYear

2002

fDate

2002

Firstpage

763

Abstract

An approach for cytologic diagnosis of thyroid cancer with the help of automatic morphometry is proposed. This approach is based on a developed computer analyser of images that is aimed at: automated processing and binarization of colour images; automatic raster-to-vector transformation and formation of biological objects; morphometric assessment of biological objects by quantitative parameters characterizing the changes of cell nuclei; building of an expert system to aid the diagnosis of thyroid cancer.

Keywords

cancer; image colour analysis; image segmentation; medical image processing; automatic morphometry; automatic raster-to-vector transformation; biological objects; cell image segmentation; cell nuclei; colour images; cytologic diagnosis; morphometric assessment; quantitative parameters; thyroid cancer; Algorithm design and analysis; Biomedical imaging; Cancer; Cybernetics; Diagnostic expert systems; Endocrine system; Image analysis; Image color analysis; Image segmentation; Medical diagnostic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2002. Proceedings. 16th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-1695-X

Type

conf

DOI

10.1109/ICPR.2002.1044870

Filename

1044870