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Hard c-means in breast image segmentation
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So that when an activity occurs in absence of user, the application detects it and performs the required action. So, it is common to use the chart coupled with either R chart or S chart, to monitor changes in mean and variance of process. This produces the reasons for enchanting power plant as a scientific disaster. Auckland, New Zealand, pp. In Japan, consumer electronics incorporating ambiguity in human thought and behavior became popular.
Hard c-means in breast image segmentation


Yutaka Hata, Shoji Kobashi, and Hiroshi Nakajima: On September 6, , we lost a great researcher, Prof. Lotfi A. Zadeh, the one who introduced one of the most important mathematical concepts that gets a good rapport with reality. International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research. Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain’s anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided.

Hard c-means in breast image segmentation
Hard c-means in breast image segmentation

We are now living in an era of multimedia data. Mobile multimedia devices are becoming mainstream, promoting the conversion of big data technologies into practices. The deployment of big data provides people with great opportunities to deal with what were formerly great challenges. Against this background, research is ongoing to explore further possibilities in mobile multimedia developing. Mobile Multimedia Big Data Embedded Systems are transforming science, engineering, healthcare, medicine, finance, business, and ultimately our society itself. Hard c-means in breast image segmentation special issue focuses on the state-of-the-art initiatives and the great promise in this field. We thank all of the authors who submitted papers for this special section.

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Hard c-means in breast image segmentation

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