微钙化检测对乳腺恶性病变的鉴别

Subarna Chatterjee, A. Ray, Rezaul Karim, A. Biswas
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引用次数: 2

摘要

乳腺癌是癌症死亡的第五大常见原因,也是女性中最常见的癌症[14]。随着筛查、诊断和治疗的进步,乳腺癌的死亡率在过去十年中下降了约20%。微钙化是钙沉积,可以识别为比周围组织稍亮的微小区域[13]。本文提出了一种微钙化检测算法,分为两部分。一种是肿块或结节的分割,另一种是肿块内微钙化的检测。本文利用MATLAB对该算法进行了仿真,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Micro-calcification detection to characterize malignant breast lesion
Breast cancer is the fifth most common cause of cancer death and most common cancer among women [14]. With advances in screening, diagnosis, and treatment, the death rate for breast cancer has declined by about 20% over the past decade. Micro-calcifications are calcium deposit which can be identified as tiny areas that are slightly brighter than surrounding tissue [13]. In this paper, we propose a micro-calcification detection algorithm in two parts. One is segmentation of the mass or nodule and the other is detection of micro-calcification within the mass. MATLAB has been used for the simulation of this algorithm and the results obtained are presented in this paper.
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