Swank P R, Greenberg S D, Winkler D G, Hunter N R, Spjut H J, Estrada R, Taylor G R
Anal Quant Cytol. 1983 Sep;5(3):153-8.
Two nuclear segmentation methods, Baky's minimax algorithm and thresholding, were compared on a sample of 879 atypical bronchial epithelial cells in sputum. Nuclear-cytoplasmic (N/C) ratios for all cells were determined by each segmentation method and compared to a visually determined value. Cells were categorized by atypia class (from metaplastic through malignant), by staining characteristics (orangeophilic and nonorangeophilic) and by method of digitization (either scanning microphotometry or video system). The method of digitization was confounded by subject differences. The results indicated that with most classes of atypia, N/C ratios determined by minimax were closer to the visually derived values than were those of thresholding, particularly with orangeophilic cells. Both methods become progressively less accurate, as compared to the visual procedure, as the degree of atypia increases.
在一份包含879个痰液中非典型支气管上皮细胞的样本上，对两种细胞核分割方法，即巴基的极小极大算法和阈值法进行了比较。通过每种分割方法确定所有细胞的核质（N/C）比，并将其与视觉确定的值进行比较。细胞按异型性类别（从化生到恶性）、染色特征（嗜橙性和非嗜橙性）以及数字化方法（扫描显微光度法或视频系统）进行分类。数字化方法因个体差异而受到干扰。结果表明，对于大多数异型性类别，极小极大算法确定的N/C比比阈值法确定的更接近视觉得出的值，特别是对于嗜橙性细胞。与视觉程序相比，随着异型性程度的增加，两种方法的准确性都逐渐降低。
