元胞自动机算法及其在医学图像处理中的应用

2007 IEEE International Conference on Image Processing Pub Date : 2007-11-12 DOI:10.1109/ICIP.2007.4379241

S. Wongthanavasu, V. Tangvoraphonkchai

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引用次数: 15

摘要

本文提出了用于医学图像处理的元胞自动机算法。全面开展乳房x线照片，确定乳腺癌的假设点。在这方面，介绍和研究了处理二值图像和灰度图像的主要元胞自动机算法及其变化。所提出的算法的结果对医生和医生进一步诊断乳腺癌有很大的希望和帮助。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cellular Automata-Based Algorithm and its Application in Medical Image Processing

This paper presents cellular automata algorithms for medical image processing. Mammogram images are comprehensively carried out to determine the hypothesis spots of breast cancer. In this respect, the main cellular automata algorithm and its variation are presented and studied to deal with binary and grayscale images. The results of the proposed algorithms are promising and helpful for physician and doctors in diagnosis of the breast cancer in further steps.

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2007 IEEE International Conference on Image Processing

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