Performance of a Method to Standardize Breast Ultrasound Interpretation Using Image Processing and Case-Based Reasoning

被引：1

作者：

Andre, M. P. ^{[1
]}

Galperin, M. ^{[1
]}

Berry, A. ^{[1
]}

Ojeda-Fournier, H. ^{[1
]}

O'Boyle, M. ^{[1
]}

Olson, L. ^{[1
]}

Comstock, C. ^{[1
]}

Taylor, A. ^{[1
]}

Ledgerwood, M. ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USA

来源：

ACOUSTICAL IMAGING, VOL 30 | 2011年 / 30卷

基金：

美国国家卫生研究院;

关键词：

Breast cancer; Sonography; Computer-aided diagnosis; Image processing; Relative similarity; ROC analysis; Segmentation; Case-based reasoning; BI-RADS; VARIABILITY;

D O I：

10.1007/978-90-481-3255-3_1

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Our computer-aided diagnostic (CADx) tool uses advanced image processing and artificial intelligence to analyze findings on breast sonography images. The goal is to standardize reporting of such findings using well-defined descriptors and to improve accuracy and reproducibility of interpretation of breast ultrasound by radiologists. This study examined several factors that may impact accuracy and reproducibility of the CADx software, which proved to be highly accurate and stabile over several operating conditions.

引用

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页码：3 / 9

页数：7

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