Multilayer Perceptron Based Level Sets for Robust Ultrasound Image Segmentation

机译：基于多层的Perceptron级别设置为强大的超声图像分割

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The class of geometric deformable models, also known as level sets, has brought tremendous impact on medical imagery due to its capability of topology preservation and fast shape recovery. Ultrasound images are often characterized by a high level of speckle causing erroneous detection of contours. This work proposes a new stopping term for level sets, based on the coefficient of variation and a multilayer perceptron, in order to robustly detect the contours in ultrasound images. Successful applications of the MLP-Level Sets to detection of contours on synthetics and real images are presented.

机译：由于其拓扑保存能力和快速形状恢复的能力，对等级套装的几何可变形模型，也称为水平集。超声图像通常具有高水平的散斑，导致错误检测轮廓。这项工作提出了一种基于级别集的新的停止术语，基于变形系数和多层的感知程序，以便鲁棒地检测超声图像中的轮廓。提出了MLP级别集的成功应用来检测合成和实图像上的轮廓。

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《Conference on Medical Imaging: Ultrasonic Imaging and Signal Processing》|2007年||共8页
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Mora M.; Tauber C.; Batatia H.; SPIE-The International Society for Optical Engineering;
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中图分类医用物理学;
关键词
ultrasound images; segmentation; level sets; multilayer perceptron;

机译：超声图像;分割;级别;多层的感觉;

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1. Automatic renal lesion segmentation in ultrasound images based on saliency features, improved LBP, and an edge indicator under level set framework [J] . Gui Luying, Yang Xiaoping Medical Physics . 2018,第1期

机译：基于显着性功能，改进的LBP和级别集框架下的边缘指示器的超声图像中自动肾脏病变分割
2. Phase based distance regularized level set for the segmentation of ultrasound kidney images [J] . Selvathi D., Bama S. Pattern recognition letters . 2017,第Jana15期

机译：基于相位的距离正则化水平集，用于超声肾脏图像的分割
3. Comparison of Three Segmentation Methods for Breast Ultrasound Images based on Level Set and Morphological Operations [J] . Dewi Putrie Lestari, Sarifuddin Madenda, Ernastuti Ernastuti, International Journal of Electrical and Computer Engineering . 2017,第1期

机译：基于水平集和形态学运算的乳腺超声图像三种分割方法的比较
4. Multilayer Perceptron Based Level Sets for Robust Ultrasound Image Segmentation [C] . Mora M., Tauber C., Batatia H. Ultrasonic Imaging and Signal Processing; Progress in Biomedical Optics and Imaging; vol.8,no.32; Proceedings of SPIE-The International Society for Optical Engineering; vol.6513 . 2007

机译：基于多层感知器的水平集，用于稳健的超声图像分割
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. Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images [O] . Brennan J Rusnell, Roger A Pierson, Jaswant Singh, 2008

机译：异位卵巢超声图像中牛体黄体的水平集分割
7. Comparison of Three Segmentation Methods for Breast Ultrasound Images based on Level Set and Morphological Operations [O] . Dewi Putrie Lestari, Sarifuddin Madenda, Ernastuti Ernastuti, 2017

机译：基于水平集和形态学作用的乳房超声图像三分割方法的比较

Multilayer Perceptron Based Level Sets for Robust Ultrasound Image Segmentation

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