计算机辅助诊断在数字化乳腺X摄影中的研究进展
Research Progress of Computer-Aided Diagnosis in Digital Mammography
DOI: 10.12677/ACM.2023.1371553, PDF,   
作者: 钟裔光：上海市嘉定区安亭医院放射诊断科，上海
关键词: 计算机辅助诊断；人工智能；乳腺癌；Computer-Aided Diagnosis； Artificial Intelligence； Breast Cancer
摘要: 乳腺癌是女性中最常见的恶性肿瘤，自20世纪90年代以来，它的发病率增加了两倍多，数字化乳腺X摄影是最广泛使用的乳腺癌筛查方法之一，然而，数字化乳腺X摄影图像的复杂性以及大量检查可能导致错误诊断，因此，采用图像处理技术和模式识别理论的计算机辅助诊断被引入，以最大限度地提高癌症检出率，并解决工作量问题。本文就计算机辅助诊断系统在数字化乳腺X线摄影方面的价值进行综述。
Abstract: Breast cancer is the most common malignant tumor among women. Since 1990s, its incidence has more than tripled. Digital mammography is one of the most widely used breast cancer screening methods. However, the complexity of digital mammography images and a large number of exami-nations may lead to wrong diagnosis. Therefore, computer-aided diagnosis using image processing technology and pattern recognition theory is introduced to maximize the cancer detection rate and solve the workload problem. This paper reviews the value of computer-aided diagnosis system in digital mammography.
文章引用：钟裔光. 计算机辅助诊断在数字化乳腺X摄影中的研究进展[J]. 临床医学进展, 2023, 13(7): 11125-11129. https://doi.org/10.12677/ACM.2023.1371553

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