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1)  microcalcifications
微小钙化
1.
Objective To evaluate mammographic imaging--guided stereotactic localization with colour marker and to detect suspicious of breast lesions and microcalcifications previous to open surgical biopsy (OSB).
其中93例微小钙化,60例可疑肿块和局部结构紊乱。
2.
However, ambiguity still existed in understanding the relationship between radiologic and pathologic characteristics of microcalcifications, attributing to the poor quality of conventional analogous film-screen image.
前言 微小钙化对乳腺癌,尤其是早期乳腺癌的诊断意义较大。
2)  Microcalcification
微小钙化
1.
Clinical Application of Localized Biopsy of Microcalcification in Breast;
乳腺微小钙化定位切除的临床应用
3)  microcalcification
微钙化点
1.
Methods of detection microcalcifications in digitized mammogram films;
乳腺钼钯X射线影像中微钙化点的检测方法
2.
Discuss and research in the methods of detection microcalcifications in digitized mammogram films;
数字乳腺X射线影像中微钙化点的检测方法的探讨与研究
3.
Research of CAD and Microcalcification Detection in Mammography;
乳腺X线图像中微钙化点检测及辅助诊断方法研究
4)  microcalcification
微钙化
1.
Research on Aided Diagnosis Algorithm of Microcalcification Based on Wavelet;
基于小波变换的乳腺微钙化辅助诊断算法研究
2.
Comparison Study of Ultrasonography and Mammography for the Diagnosis Breast Lesion with Microcalcification;
超声与钼靶摄影诊断乳腺微钙化病变的对比研究
3.
To investigate the feasibility of using microcalcification and hemodynamics in thyroid nodule as the objective index of gallae with phlegm and blood stasis.
探讨甲状腺结节中微钙化和血流动力学指标,作为中医瘿瘤痰瘀内结辨证客观化指标的可行性。
5)  micro-calcification
微钙化点
1.
In this paper,SVM algorithm is applied to detect the micro-calcification.
本文首次将SVM算法用于乳腺X影像微钙化点自动检测中,对临床实际病例的试用结果表明,同目前常用的基于经验风险最小的人工神经网络(ANN)分类方法相比,SVM具有更高的识别率,值得应用推广。
2.
This paper proposed a feature selection method of micro-calcification(MC) in mammograms,which used weighted mutation based immune algorithm.
给出了一种乳腺X线照片微钙化点的特征选择方法,该方法运用基于加权变异算子的免疫算法进行特征优选。
3.
Mammography has become the most effective way to detection of breast cancer, and it is sensitive to clustered micro-calcification which is the key characteristic of early breast tumors.
细小、颗粒状的成簇微钙化点是乳腺癌早期的重要征象。
6)  microcalcifications
微钙化点
1.
To the question that the microcalcifications in the mammography are extremely small,various shapes,different sizes,variable distributions,and low contrast.
针对早期乳腺癌X光片中微钙化点非常微小、不规则、形状和分布各异,且对比度较差,乳腺中的致密组织与病变组织十分相似的问题,依据微钙化点是淹没在极高频噪声和低频背景中的高频信号,提出了利用数学形态学和小波变换来进行微钙化点的定位,依据神经网络可以通过训练来进行分类,提出利用概率神经网络对微钙化病变类型进行融合识别。
2.
A novel approach to computer aided microcalcifications detection in mammograms was presented.
针对乳腺X线摄片,提出了一种计算机辅助检测乳腺微钙化点的方法:首先利用灰度形态重构完成穹顶提取,除去乳腺背景结构同时又能很好地保留微钙化点;其次运用拉普拉斯算子在空间域内对图像进行锐化以增强微钙化点;然后在频率域内利用巴特沃思高通滤波器对图像进行高通滤波;最后利用二维最大熵阈值分割对图像二值化,从而检测出微钙化点并在图像上标识出来。
3.
The detection methods of microcalcifications in the digital mammograms are studied.
研究了乳腺钼钯X射线影像中微钙化点的计算机辅助检测问题 ,提出一种能发挥差值、小波及神经网络等多种技术优势的综合处理检测方法 。
补充资料:肺内微小结节


肺内微小结节


影像学术语。直径小于7mm的肺内结节。微小结节相当于肺腺泡大小(6~8mm),分布于肺实质内或胸膜下。在吸烟者和肺弥漫性疾病(矽肺、外源性过敏性肺泡炎、肺组织细胞病X)的CT片上多见。高分辨CT(HRCT)显示率优于普通CT。
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