Artificial Ant Colony: Features and applications on medical image segmentation

机译：人工蚁群：医学图像分割的特征和应用

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Ant Colony Systems (ACS) have been applied to solve complex problems. The first Ant System was proposed in the earlier nineties, and since then several studies were performed to apply this paradigm in real problems. Several researchers have explored the idea of applying ACS to image processing. Herein, the original ACS models applied to image processing are presented. Moreover, two new models, based on the previous ones, are proposed and applied in two different types of medical images: mammogram and microtomography.

机译：蚁群系统（ACS）已被应用于解决复杂问题。第一个蚂蚁系统是在前九十年代提出的，从那时起，正在进行几项研究以在真正的问题中应用这个范例。几位研究人员探索了将ACS应用于图像处理的想法。这里，呈现了应用于图像处理的原始ACS模型。此外，提出了两种基于以前的新型模型，并应用于两种不同类型的医学图像：乳房X光图和微微图。

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《Pan American Health Care Exchanges Conference》|2011年||共6页
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Alvarenga A. V.;
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中图分类 R47-53;
关键词
Artificial Ant Colony; Edge Detection; Image Processing; Segmentation;

机译：人工蚁群;边缘检测;图像处理;分段;

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1. Parallel implementation of the Artificial Ant Colony Algorithm applied to medical images segmentation [J] . Zuzanna KRAWCZYK, Jacek STARZYŃSKI Przeglad Elektrotechniczny . 2017,第4期

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2. An artificial ant colonies approach to medical image segmentation. [J] . Huang P, Cao H, Luo S Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2008,第3期

机译：人工蚁群方法用于医学图像分割。
3. Channeler Ant Model: 3D segmentation of medical images through ant colonies [J] . E. FIORINA, R. ARTECHE DIAZ, P. BOSCO, Il Nuovo Cimento della Societa Italiana di Fisica, C. Geophysics and space physics . 2011,第1期

机译：Channeler Ant Model：通过蚁群对医学图像进行3D分割
4. Artificial Ant Colony: Features and applications on medical image segmentation [C] . Alvarenga A. V. Pan American Health Care Exchanges Conference . 2011

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5. Feature selection for self-organizing feature map neural networks with applications in medical image segmentation. [D] . Rickard, Heather Erin. 2001

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6. An Effective Method for Segmentation of MR Brain Images Using the Ant Colony Optimization Algorithm [O] . Mohammad Taherdangkoo, Mohammad Hadi Bagheri, Mehran Yazdi, 2013

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8. Medical Image Segmentation Using Texture Directional Features. [R] . Mavromatis, S., Boi, J. M., Sequeira, J. 2001

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Artificial Ant Colony: Features and applications on medical image segmentation

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