Medical Image Segmentation Hybrid Algorithm Based on Otsu Method and Markov Random Fields

机译：基于OTSU方法和Markov随机字段的医学图像分割混合算法

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The aim of this paper is to present a hybrid method of image segmentation based on Otsu algorithm and Markov Random Fields simulations. This method has been employed for biomedical images coming from Magnetic Resonance Imaging (MRI). As a result we have received a segmented image of the human head.

机译：本文的目的是呈现基于OTSU算法和马尔可夫随机字段模拟的图像分割的混合方法。该方法已经用于来自磁共振成像（MRI）的生物医学图像。结果，我们已经收到了人头的分段图像。

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《International Conference on Electromagnetic Field, Health and Environment》|2008年||共9页
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R. LUDWICZUK; P. MIKOLAJCZAK;
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中图分类 TM15-53;
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4. Medical Image Segmentation Hybrid Algorithm Based on Otsu Method and Markov Random Fields [C] . R. LUDWICZUK, P. MIKOLAJCZAK International Conference on Electromagnetic Field, Health and Environment . 2008

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5. Efficient Algorithms for Markov Random Fields, Isotonic Regression, Graph Fused Lasso, and Image Segmentation [D] . Lu, Cheng. 2017

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6. Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms [O] . Yanjie Zhu, Yongqing Tan, Yanqing Hua, 2012

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7. Comparative Analysis of Methods for Segmentation of FMRI Images Based on Markov Random Fields [O] . Сергей Черняев, Sergey Chernyaev, Олег Лукашенко, 2019

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8. Bayes Smoothing Algorithms for Segmentation of Images Modelled by Markov Random Fields [R] . Derin, H., Elliott, H., Cristi, R., 1983

机译：马尔可夫随机场模拟图像分割的Bayes平滑算法

Medical Image Segmentation Hybrid Algorithm Based on Otsu Method and Markov Random Fields

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