熵阈值法在数字乳房x线照片中自动检测微钙化

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1996-12-01 DOI:10.1109/IEMBS.1996.652715

Ping-Sung Liao, B. Hsu, C. Lo, P. Chung, Tse-Sheng Chen, San Kan Lee, L. Cheng, C.-I. Chang

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引用次数: 9

摘要

介绍了一种自动检测数字乳房x光片微钙化的系统。该系统基于一系列预处理步骤(梯度增强、平均对比度增强和高斯模糊-去模糊处理)，然后使用熵阈值分割，可以有效地检测出可疑的微钙化。所设计的系统的性能由熟练的放射科医生进行评估，并显示出令人鼓舞的结果。

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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Automatic detection of microcalcifications in digital mammograms by entropy thresholding

A system for automatically detecting microcalcifications in digital mammograms is presented. The proposed system, based on a sequence of preprocessing steps (gradient enhancement, mean contrast enhancement and Gaussian blurring-deblurring process) followed by segmentation using entropy thresholding, can effectively and efficiently detect the suspicious microcalcifications. The performance of the designed system is evaluated by skilled radiologists and shows encouraging results.

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Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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