钙化点

基于SVM算法的乳腺图像钙化点检测方法

Detection of Calcifications in Breast Based on SVM

本文主要针对乳腺微钙化点计算机辅助诊断（CAD）中的若干关键技术进行了系统深入的研究，实现了对微钙化点的定位以及对病变类型的诊断。

In this thesis , some key issues of the Computer Aided Diagnosis ( CAD ) technique of breast cancer MCCs are systematically investigated .

作为计算机辅助诊断（CAD）的一部分，钙化点检测是难点，也是早期乳腺癌诊断的关键。

Calcification detection , which is part of computer-assisted diagnosis ( CAD ), is a difficult and a key step in diagnosis early breast cancer .

Top-hat与SVM在乳腺微钙化点检测中的应用

Application of Top-hat and SVM in micro-calcification detection of mammograms

目的：利用支持向量机（SVM）对乳腺X光片图像中的病变区域进行检测和分类，识别出含钙化点区域和肿瘤区域。

Objective To search an approach based on Support Vector Machine ( SVM ) for detection of different abnormalities including micro-calcifications and masses from digital mammograms .

所调查的其他型号CR影像质量均比屏/片系统差，可分辨微钙化点的尺寸大于0.2mm，这些类型CR不适合用于乳癌普查。

The image quality of the other types of CR systems is poor than the screen-film Systems in our research .

结果（1）皮层和皮层下病灶：CT显示病灶58个，面包圈样改变病灶23个，局部小片状高密度7个病灶，等密度伴有钙化点病灶28个。

Results ( 1 ) Cortical and subcortical lesions : 58 tubers were found on CT . Among them there were 23 lesions like bread cycle , 7 slightly high density lesions and 28 iso-density lesions with calcified spots .

为了实现数字乳腺图像中钙化点的自动检测，提出了一种基于Top-hat算子的钙化点检测方法。

A method for the automatic detection of microcalcifications in digital mammograms is presented in this paper .

现有多种方法能用于检测钙化点并各有优缺点，其中典型的高斯-拉普拉斯算子（LOG）是有效方法之一，尽管其能较精确地检出钙化点的位置但检测效率低。

Now , various methods can be used to detect microcalcifications , among them typical Gauss - Laplace operator ( LOG ) is one of effective methods . Although LOG can accurately detect microcalcifications , it is inefficient .

为了提高微钙化点检测的真阳性，降低假阳性，提出了基于迭代顺序滤波子空间约束和FSVM的微钙化点检测方法。

To improve the accuracy and efficiency of microcalcification detection , a method based on iterative rank-order filters subspace restricted and FSVM for microcalcification is proposed .

钼靶X线片结合放大镜观察钙化点的情况分析，99mTc-MIBI显像取感兴趣区（ROI），求出肿块与正常组织中放射性比值（T/NT）。

The mammograms were read with calcifications observed under a magnifying glass . In 99mTc-MIBI imaging , region of interesting ( ROI ) was drawn and the ratio of radioactivity in tumor and nontumor tissue was calculated .

基于微钙化点检测的乳腺X线图像分割研究

The Research of Mammogram Image Segmentation Method Based on Microcalcification Detection

钙化点是乳腺癌早期的一个主要放射学征象。

Microcalcifications are the primary radiological indicator of early breast cancers .

一种基于二维粒子的自动检测乳腺钼靶片上微钙化点簇的方法

Automatic Detection on Clustered Microcalcifications on Mammograms Based on 2D Particles

基于可拒识-双层支持向量分类器的微钙化点检测

Micro-calcifications Detection Based on Two-layer Support Vector Classifier with Rejection Feature

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；

Secondly microcalcifications were enhanced by utilizing Laplacian operator in spatial domain .

基于形态学灰度重构的乳腺微钙化点提取

On Microcalcifications Detection in Mammograms Based on Morphological Grayscale Reconstruction

基于差影技术的乳腺微钙化点检测方法

A method to Microcalcification Detection in Digital Mammograms Based on Difference Technique

超声对乳腺肿块微小钙化点的显示与临床意义

Ultrasound Study of Minor Calcification in Breast Mass and Its Clinical Significance

基于支持向量机的乳腺钙化点检测算法

Micro-calcifications detection algorithm in mammogram based on support vector machine

基于迭代顺序滤波子空间约束的可拒识-支持向量机微钙化点检测

Micro-calcifications Detection Based on Iterative Rank-order Filter Subspace and SVM with Rejection Feature

87.5%乳腺癌的钙化点密度不均、大小不一；

Heterogeneous density and different size were found in 87.5 % of breast cancer .

使用遗传算法的乳腺微钙化点特征优化

Microcalcification Feature Selection in Mammograms Using Genetic Algorithm

乳腺X线图像中微钙化点检测及辅助诊断方法研究

Research of CAD and Microcalcification Detection in Mammography

乳腺X线影像中钙化点检测方法的研究

Study on Detection Methods of Calcification in Mammography

瘤体内有散在分布的细小钙化点；

The tumor contained scattered small calcifications ;

钙化点间密度不均、大小不一；

Heterogeneous density and different size ;

基于小波变换的乳腺X线影像微钙化点感兴趣区域提取新技术

A Novel ROI Extracting Technique Based on Wavelet Transform for the Detection of Micro-calcifications in Mammograms

微钙化点检测模块。

The Micro-calcifications Detection Module .

乳腺钼靶簇状钙化点在乳腺癌诊断中的临床价值-附60例患者影像病理相关性分析

The value of classification of clustered calcification in the diagnosis of breast cancer-60 cases radiological-pathological correlation features