Astley S M, Gilbert F J
Imaging Science and Biomedical Engineering, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT, UK.
Clin Radiol. 2004 May;59(5):390-9. doi: 10.1016/j.crad.2003.11.017.
Mammographic film reading for breast screening is a highly demanding visual task involving a detailed visual search for signs of abnormality, which are infrequent and often small or subtle. False-negative cases, in which a cancer is missed by a film reader, are known to occur. Although double reading has proved effective in reducing errors, there is a national shortage of film readers in the screening programme, and recent extensions to the programme have exacerbated this problem. The use of computer-aided detection (CAD) systems could potentially provide a solution by improving individual performance to the extent that double reading is no longer necessary. In this paper, we describe how CAD works, review the relevant literature and examine the strengths and weaknesses of the approach.
用于乳腺筛查的乳房X光片阅读是一项要求极高的视觉任务，需要对异常迹象进行细致的视觉搜索，而这些异常迹象并不常见，而且往往很小或很细微。已知会出现漏诊病例，即读片者遗漏癌症的情况。尽管双人读片已被证明在减少错误方面有效，但筛查项目中读片者在全国范围内短缺，而且该项目最近的扩展加剧了这一问题。使用计算机辅助检测（CAD）系统可能会提供一种解决方案，即通过提高个人的阅片能力，使双人读片不再必要。在本文中，我们描述了CAD的工作原理，回顾了相关文献，并审视了该方法的优缺点。
