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子宫颈外细胞的计算机识别。分类准确性和空间分辨率。

Computer recognition of ectocervical cells. Classification accuracy and spatial resolution.

作者信息

Wied G L, Bartels P H, Bibbo M, Puls J, Taylor J, Sychra J J

出版信息

Acta Cytol. 1977 Nov-Dec;21(6):753-64.

PMID:349988
Abstract

The effect of a relaxation of the spatial resolution of images of ectocervical cells on classification accuracy by computer has been studied. The discriminatory capabilities of optical density, texture and shape features have been evaluated. Comparable computer classifications have been derived. The differences in the discriminating power of .5 and 1 mu resolution are found to be smaller than the differences corresponding to 1 and 2 mu resolution. While 2 mu resolution may be marginally acceptable in certain situations, the 4 mu resolution did not render acceptably good classification rates.

摘要

研究了放宽子宫颈外细胞图像的空间分辨率对计算机分类准确性的影响。评估了光密度、纹理和形状特征的辨别能力。得出了可比的计算机分类结果。发现0.5微米和1微米分辨率的辨别能力差异小于1微米和2微米分辨率对应的差异。虽然在某些情况下2微米分辨率可能勉强可以接受,但4微米分辨率并未给出可接受的良好分类率。

相似文献

1
Computer recognition of ectocervical cells. Classification accuracy and spatial resolution.子宫颈外细胞的计算机识别。分类准确性和空间分辨率。
Acta Cytol. 1977 Nov-Dec;21(6):753-64.
2
Computer recognition of abnormal ectocervical cells. Comparison of the efficacy of contour and textural features.计算机对宫颈外口异常细胞的识别。轮廓特征与纹理特征功效的比较。
Acta Cytol. 1977 Nov-Dec;21(6):765-9.
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Computer recognition of ectocervical cells: image features.
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Dimensionality reducing displays in cell image analysis.细胞图像分析中的降维显示
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Ellipse test for the reduction of false positive signals in automated cytology.
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A system for scanning biological cells in three colors.一种用于三色扫描生物细胞的系统。
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Discriminant analysis on cells from developing squamous cancer of the respiratory tract.对呼吸道发育性鳞状细胞癌的细胞进行判别分析。
Cell Biophys. 1979 Mar;1(1):39-54. doi: 10.1007/BF02785055.