基于CAD的乳腺癌检测方法

Indra Kanta Maitra, Samir Kumar Bandyopadhyay
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引用次数: 3

摘要

众所周知,如果不及时发现,影响妇女的乳腺癌会导致高死亡率。检测需要乳房x光检查,然后对乳房组织中的肿瘤或病变进行活检。当代乳房x线摄影硬件已经整合了输出图像的数字化,以增加计算机辅助诊断(CAD)计算方法的实施范围。CAD系统需要医学图像处理,这是一门涉及医学图像计算算法开发的多学科科学。组织病理切片检查后,恶性肿瘤的确定进行活检。在应用任何确定性算法之前,数字图像都需要进行配准和增强。本文对现有算法进行了有效和高效的改进,并介绍了一些基于图像分割过程的创新思想,以开发计算机辅助诊断工具,帮助放射科医生对数字乳房x光片进行准确的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAD Based Method for Detection of Breast Cancer
Breast cancer affecting the women is known to cause high mortality unless detected in right time. Detection requires Mammography followed by biopsy of the tumour or lesions present in the breast tissue. Contemporary Mammographic hardware has incorporated digitization of output imagesfor increasing the scope for implementation of computational methods towards Computer Aided Diagnostics (CAD).CAD systems require Medical Image Processing, a multi-disciplinary science that involves development of computational algorithms on medical images. Histopathological slides are examined for determination of malignancy after biopsy is performed. Digital Images are required to be registered and enhanced prior to application of any deterministic algorithm. This paper provides both effective and efficient improvements over existing algorithms and introduces some innovative ideas based on image segmentation process to develop computer aided diagnosis tools that can help the radiologists in making accurate interpretation of the digital mammograms.
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