Context Enhanced Graphical Model for Object Localization in Medical Images

机译：用于医学图像中对象定位的上下文增强图形模型

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Object localization is an important step common to many different medical applications. In this Chapter, we will review the challenges and recent approaches tackling this problem, and focus on the work by Song et.al.. In, a new graphical model with additional contrast and interest-region potentials is designed, encoding the higher-order contextual information between regions, on the global and structural levels. A discriminative sparse-coding based interest-region detector is also integrated as one of the context prior in the graphical model. This object localization method is generally applicable to different medical imaging applications, in which the objects can be distinguished from the background mainly based on feature differences. Successful applications on two different medical imaging applications - lesion dissimilarity on thoracic PET-CT images and cell segmentation on microscopic images -are demonstrated in the experimental results.

机译：对象本地化是许多不同医疗应用程序共有的重要步骤。在本章中，我们将回顾解决该问题的挑战和最新方法，并将重点放在Song等人的工作上。在其中，设计了具有附加对比度和兴趣区域潜力的新图形模型，对高阶进行编码在全球和结构层面上，区域之间的上下文信息。基于区分稀疏编码的兴趣区检测器也被集成为图形模型中的先验上下文之一。该对象定位方法通常适用于不同的医学成像应用，其中可以主要基于特征差异将对象与背景区分开。实验结果证明了在两种不同的医学成像应用中的成功应用-胸腔PET-CT图像上的病变差异和显微图像上的细胞分割。

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《Medical computer vision : Recognition techniques and applications in medical imaging》|2012年|194-205|共12页
会议地点 Nice(FR)
作者
Yang Song; Weidong Cai; Heng Huang; Yue Wang; David Dagan Feng;
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BMIT Research Group, School of IT, University of Sydney, Australia;

BMIT Research Group, School of IT, University of Sydney, Australia;

Computer Science and Engineering, University of Texas at Arlington;

Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University;

BMIT Research Group, School of IT, University of Sydney, Australia;

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机译：全身医学图像中解剖地标定位的个性化图形模型
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机译：主动形状模型在医学图像中对象（脊柱）的定位
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机译：通过对物体和人体姿势的相互关系建模来识别静止图像中的人物体相互作用
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机译：上下文增强的医学图像对象本地化图形模型
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机译：用于对象定位，姿态估计和跟踪的连续状态图形模型
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机译：利用植物生长模拟算法的医学图像目标定位优化技术
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机译：基于具有对比度和兴趣区域条件的图形模型的医学图像中的对象定位
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Context Enhanced Graphical Model for Object Localization in Medical Images

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