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Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

机译：乳腺DCE-MRI：通过多分类器系统利用动态和形态特征对病变进行分类

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摘要

BackgroundIn breast magnetic resonance imaging (MRI) analysis for lesion detection and classification, radiologists agree that both morphological and dynamic features are important to differentiate benign from malignant lesions. We propose a multiple classifier system (MCS) to classify breast lesions on dynamic contrast-enhanced MRI (DCE-MRI) combining morphological features and dynamic information.

机译：背景技术在用于病灶检测和分类的乳房磁共振成像（MRI）分析中，放射科医生同意形态学和动态特征对区分良性和恶性病变都很重要。我们提出了一种多分类器系统（MCS），以结合形态学特征和动态信息的动态对比增强MRI（DCE-MRI）对乳腺病变进行分类。

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期刊名称 European Radiology Experimental
作者
Roberta Fusco; Massimiliano Di Marzo; Carlo Sansone; Mario Sansone; Antonella Petrillo;
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作者单位

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年(卷),期 2017(1),-1
年度 2017
页码 10
总页数 7
原文格式 PDF
正文语种
中图分类放射医学;影像诊断学;
关键词
Breast cancer Dynamic contrast-enhanced MRI Multiple classifier system Morphological features Decision tree Dynamic features Bayesian classifier;

机译：乳腺癌;动态对比增强MRI;多分类器系统;形态特征;决策树;动态特征;贝叶斯分类器;

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专利

1. Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system [J] . Roberta Fusco, Massimiliano Di Marzo, Carlo Sansone, European Radiology Experimental . 2017,第1期

机译：乳腺DCE-MRI：通过多分类器系统利用动态和形态特征对病变进行分类
2. Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics [J] . Felix Retter, Claudia Plant, Bernhard Burgeth, EURASIP journal on advances in signal processing . 2013,第1期

机译：基于图像配准以及形态和动态特征的整合，在DCE-MRI中对诊断性乳腺病变进行计算机辅助诊断
3. Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound. [J] . Huang YL, Chen DR, Jiang YR, Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . 2008,第4期

机译：利用形态学特征对计算机上的乳腺病变进行分类的计算机辅助诊断。
4. A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI [C] . Roberta Fusco, Mario Sansone, Antonella Petrillo, IAPR international workshops on structural and syntactic pattern recognition;IAPR international workshops on statistical techniques in pattern recognition . 2012

机译：DCE-MRI中利用动态和形态学特征对乳腺病变进行分类的多分类器系统
5. Interactive 3D GPU-based breast mass lesion segmentation method based on level sets for DCE-MRI images. [D] . Zavala-Romero, Olmo Sebastian. 2015

机译：基于水平集的DCE-MRI图像的基于交互式3D GPU的乳房肿块病变分割方法。
6. Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection [O] . Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, -1

机译：乳房MRI小病变的分类：评估通过特征选择的动态提取纹理特征的作用
7. Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system [O] . Fusco, Roberta, Di Marzo, Massimiliano, Sansone, Carlo, 2017

机译：乳房DCE-mRI：通过多分类器系统使用动态和形态特征对病变进行分类
8. Investigation of Three-Group Classifiers to Fully Automate Detection and Classification of Breast Lesions in an Intelligent CAD Mammography Workstation [R] . Edwards, D. C. , Metz, C. E. , Giger, M. L. 2007

机译：智能CaD乳腺X线摄影工作站三组分类器全面自动检测和分类乳腺病变的研究

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

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