Multispectral microscopy and cell segmentation for analysis of thyroid fine needle aspiration cytology smears.
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.
Wu
Xuqing
X
Department of Computer Science, University of Houston, Houston, TX 77204-3010, U.S.A.
Thigpen
James
J
Shah
Shishir K
SK
D000465:Algorithms; D001185:Artificial Intelligence; D044963:Biopsy, Fine-Needle / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D036641:Microscopy, Fluorescence, Multiphoton / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013964:Thyroid Neoplasms / Q000473:pathology*