Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333764
