用于甲状腺细针穿刺细胞学涂片分析的多光谱显微镜检查和细胞分割
Multispectral microscopy and cell segmentation for analysis of thyroid fine needle aspiration cytology smears.
作者信息
Wu Xuqing, Thigpen James, Shah Shishir K
机构信息
Department of Computer Science, University of Houston, Houston, TX 77204-3010, U.S.A.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5645-8. doi: 10.1109/IEMBS.2009.5333764.
PMID:19964406
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.
摘要
本文讨论了基于细针穿刺细胞学涂片分析辅助诊断甲状腺结节的自动化工具的需求。虽然传统做法依赖于灰度或RGB彩色图像分析，但我们提出了一种使用31个光谱带进行分析的多光谱显微镜系统。文中讨论了系统校准和细胞勾勒的方法及结果。
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