Multispectral microscopy and cell segmentation for analysis of thyroid fine needle aspiration cytology smears

Author

Wu, Xuqing ; Thigpen, James ; Shah, Shishir K.

Author_Institution

Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

5645

Lastpage

5648

Abstract

This paper discusses the needs for automated tools to aid in the diagnosis of thyroid nodules based on analysis of fine needle aspiration cytology smears. While conventional practices rely on the analysis of grey scale or RGB color images, we present a multispectral microscopy system that uses thirty-one spectral bands for analysis. Discussed are methods and results for system calibration and cell delineation.

Keywords

biomedical optical imaging; cellular biophysics; image segmentation; medical image processing; optical microscopy; cell delineation; fine needle aspiration cytology smears; image segmentation; multispectral microscopy; system calibration; thyroid nodules; Algorithms; Artificial Intelligence; Biopsy, Fine-Needle; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Microscopy, Fluorescence, Multiphoton; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Thyroid Neoplasms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5333764

Filename

5333764