Evaluation of contextual analysis for computer classification of cervical smears.
Evaluation of contextual analysis for computer classification of cervical smears.
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宫颈涂片计算机分类的背景分析评估。
DOI：
10.1002/cyto.990080215
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发表时间：
1987
期刊：
影响因子：
--
通讯作者：
J. F. Brenner
中科院分区：
文献类型：
--
作者：
G. L. Garcia;W. Kuklinski;D. Zahniser;P. Oud;P. Vooys;J. F. Brenner
一种用于宫颈涂片自动分析的程序已经在图像细胞仪系统中实现。涂片是专门描述的全球和上下文信息提取的模式识别算法，并表示为一个向量的比例的细胞对象类型。线性判别函数，基于Fisher准则，推导出与诊断的横截面分为两大类，正常和异常的涂片分类。从83个涂片获得的结果表明78%的正确分类。与大多数自动化系统相比，在正常涂片中获得了良好的分类结果，炎症引起的良性变化，绝经后萎缩和轻度发育不良的异常。这些研究结果表明，上下文分析可能是敏感的细胞形态的细微变化和发育不良的渐进模式。当与标准分离细胞分析一起使用时，上下文分析可以为自动宫颈预筛选提供额外的补充信息。
A procedure for automated analysis of cervical smears has been implemented in an image cytometry system. Smears are described exclusively in terms of global and contextual information extracted by pattern-recognition algorithms and represented by a vector of proportions of cellular object types. Linear discriminant functions, based on a Fisher criterion, are derived to classify smears with a cross-section of diagnoses into two broad categories, normal and abnormal. Results obtained from 83 smears indicate 78% correct classification. In contrast to most automated systems, good classification results were obtained in normal smears with benign changes caused by inflammation and with postmenopausal atrophia and in abnormals with mild dysplasia. These findings suggest that contextual analysis may be sensitive to subtle changes in cellular morphology and to progressive patterns of dysplasia. When used with standard isolated cell analysis, contextual analysis may provide additional complementary information for automated cervical prescreening.
中间细胞中子宫癌的细胞形态计量学标记。
DOI：
--
发表时间：
1980
期刊：
Analytical and quantitative cytology
影响因子：
--
作者：
Wied,GL;Bartels,PH;Bibbo,M;Sychra,JJ
通讯作者：
Sychra,JJ