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

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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.