Thermography 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 tum...

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Bibliographic Details
Main Authors: Gerald Schaefer, Michal Zavisek, Tomoharu Nakashima
Format: Default Article
Published: 2009
Subjects:
Artificial intelligence not elsewhere classified
Other information and computing sciences not elsewhere classified
Cancer diagnosis
Breast cancer
Medical thermography
Image analysis
Pattern classification
Artificial Intelligence and Image Processing
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/14647
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