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用于乳腺细胞学诊断的计算机设计专家系统。

Computer-designed expert systems for breast cytology diagnosis.

作者信息

Wolberg W H, Mangasarian O L

机构信息

Department of Surgery, University of Wisconsin-Madison.

出版信息

Anal Quant Cytol Histol. 1993 Feb;15(1):67-74.

PMID:8471108
Abstract

Three expert systems have been developed to diagnose from nine scalar values visually assigned to epithelial cells obtained by breast fine needle aspiration. These expert systems achieved up to 0.98 sensitivity and 0.97 specificity. When applied to 804 breast masses, the clinical sensitivity was 0.98 and specificity was 0.93 (exclusive of the 0.04 unsatisfactory aspirates). Cancers can be missed physically during the aspiration process; thus, some clinically suspicious masses were biopsied despite benign cytology. This contributed to the difference between the expert system and clinical specificities.

摘要

已经开发了三个专家系统,用于根据通过乳腺细针穿刺获得的上皮细胞的九个视觉赋值标量值进行诊断。这些专家系统的灵敏度高达0.98,特异性高达0.97。当应用于804个乳腺肿块时,临床灵敏度为0.98,特异性为0.93(不包括0.04例不满意的穿刺样本)。在穿刺过程中,癌症可能会被物理遗漏;因此,尽管细胞学检查为良性,但一些临床可疑肿块仍进行了活检。这导致了专家系统和临床特异性之间的差异。

相似文献

1
Computer-designed expert systems for breast cytology diagnosis.用于乳腺细胞学诊断的计算机设计专家系统。
Anal Quant Cytol Histol. 1993 Feb;15(1):67-74.
2
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