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Rule-Based CAD of Digitized Mammograms

Rule-Based CAD of Digitized Mammograms
基于规则的数字化乳房 X 光检查 CAD
批准号:
6704745
负责人:
DAVID GUR
金额:
$27.53万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-15 至 2007-02-28

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中文摘要
翻译
描述(由申请人提供):鉴于乳房x光检查在乳腺癌早期诊断中的重要性,特别是在筛查中的重要性,近年来,乳房x光检查的计算机辅助诊断(CAD)方案得到了广泛的发展和研究。一些CAD系统的诊断性能已经达到临床应用的程度。然而,尽管做出了重大的努力和重大的改进,CAD方案的性能水平,特别是与质量有关的,仍然不够理想。此外,探索优化这些方案的方法,以及评估和比较它们在临床环境中使用时的性能和稳健性,变得越来越重要。随着我们在早期阶段检测异常的努力的增加,该领域可能会在几个重要领域逐步取得进展。在这个项目中,我们建议继续进行各种研究,以改进和测试我们自己的几个CAD方案的性能和稳健性。我们还将评估多个图像(如多个视图或图像序列)可用并用于优化诊断检查结果时与系统性能相关的一些问题。我们将开发的许多方法和我们建议使用的技术,以优化性能并确保这些方案的鲁棒性,应该适用于本领域和相关领域的其他研究。最后,没有对不同团体(和公司)开发的方案进行直接比较,这将有助于更好地了解不同方法的一些优点和局限性。我们建议在项目期间对大量经活检证实的病例进行两次检查。
英文摘要
DESCRIPTION (provided by applicant): Given the recognized and widely accepted importance of mammography in early identification of breast cancer in general, and in screening, in particular, computer-aided diagnosis (CAD) schemes for mammography have been developed and investigated extensively in recent years. The diagnostic performance of some CAD systems is at the point where clinical utility has been demonstrated. However, despite significant efforts and major improvements, the performance level of CAD schemes, particularly as related to masses, remains less than optimal. In addition, it is becoming increasingly important to explore ways not only to optimize these schemes, but also to assess and compare their performance and robustness when used in the clinical environment. As we increase efforts to detect abnormalities at an earlier stage, this field is likely to progress incrementally in several important areas. In this project, we propose to continue to conduct a variety of studies to improve and test the performance and robustness of several of our own CAD schemes. We will also assess a number of issues associated with system's performance when multiple images, such as multiple views or sequences of images, are available and are used to optimize the results of a diagnostic examination. Many of the methods we will develop and the techniques we propose to use in order to optimize performance and assure robustness of these schemes should be applicable to other investigations in this and related fields. Last, there is no direct comparison of schemes developed by different groups (and companies) that will enable a better understanding of some of the advantages and limitations of different approaches. We propose to do so twice during the project on a large number of biopsy-proven cases.
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