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MFO算法以及论文

于 2020-02-16 发布

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说明：一个飞蛾扑火算法的实现，里面包含了算法的论文，可以参考着看(The implementation of a moth algorithm)

文件列表：

Moth Flame Optimization algorithm Toolbox\CostFunction.m, 2295 , 2015-07-25
Moth Flame Optimization algorithm Toolbox\initialization.m, 2266 , 2015-07-25
Moth Flame Optimization algorithm Toolbox\license.txt, 1318 , 2014-11-12
Moth Flame Optimization algorithm Toolbox\MFO.m, 6261 , 2015-07-25
Moth Flame Optimization algorithm Toolbox\MFO_toolbox.fig, 9594 , 2015-07-25
Moth Flame Optimization algorithm Toolbox\MFO_toolbox.m, 15865 , 2015-07-25
Moth Flame Optimization algorithm Toolbox\MFO_toolbox.png, 207066 , 2015-07-25

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Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

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MFO算法以及论文

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