A study of presentation method for easy understanding of computer-aided diagnosis system output

商业化的CAD(计算机辅助检测)系统只提供计算机的输出。如果医生了解计算结果的过程，他们就可以增加对CAD输出的信心。那么，敏感度就会更高。本研究旨在开发一套乳房X线片的计算机辅助分类系统，并探讨有效的CAD输出呈现方法。微钙化系统将微钙化分为四种分布类型之一和四种形状类型之一。然后，通过分布类型和形状类型的组合来定义类别。体量分类系统主要采用体量边界形状分析的方法。观察者研究分三种模式进行，即单纯的乳房X线片、CAD有类别的乳房X线片和既有类别又有CAD分析结果的乳房X线片，以探讨CAD输出的有效呈现方法。因此，CAD计算类别的呈现足以提高准确率。此外，观察到医生的分类性能有了显著的改善。

Commercialized CAD (computer-aided detection) systems present only the output of the computer. If physicians understand the process for calculating results, they can increase their confidence for CAD output. Then, the higher sensitivity will be expected. The purpose of this study is to develop a computer-aided classification system on mammograms and to investigate the effective presentation method of CAD output. The system for microcalcifications classifies microcalcifications into one of the four distribution types and one of the four shape types. Then, the category is defined by combination of distribution and shape types. The system for mass categorizes by using mainly shape analysis of mass border. Observer study was performed in three modes, only mammogram, mammogram with category by CAD, and mammogram with both category and analytical result by CAD, in order to investigate effective presentation method of CAD output. As a result, the presentation of the CAD-computed category is sufficient to improve accuracy rate. In addition, significant improvements of classification performance among physicians are observed.