Thermography based breast cancer analysis using statistical features and fuzzy classification
نویسندگان
چکیده
منابع مشابه
Thermography based breast cancer analysis using statistical features and fuzzy classification
Medical thermography has proved to be useful in various medical applications including the detection of breast cancer where it is able to identify the local temperature increase caused by the high metabolic activity of cancer cells. It has been shown to be particularly well suited for picking up tumors in their early stages or tumors in dense tissue and outperforms other modalities such as mamm...
متن کاملThermography based breast cancer analysis using statistical features and fuzzy classifications
Medical thermography has proved to be useful in various medical applications including the detection of breast cancer where it is able to identify the local temperature increase caused by the high metabolic activity of cancer cells. It has been shown to be particularly well suited for picking up tumors in their early stages or tumors in dense tissue and outperforms other modalities such as mamm...
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Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
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In this paper, we present a system based on feature extraction techniques and image segmentation techniques for detecting and diagnosing abnormal patterns in breast thermograms. The proposed system consists of three major steps: feature extraction, classification into normal and abnormal pattern and segmentation of abnormal pattern. Computed features based on gray-level co-occurrence matrices a...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2009
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2008.08.007