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Study Results from University of Cincinnati Update Understanding of Information Technology (An evolutionary framework for detecting protein...

July 22, 2014

Study Results from University of Cincinnati Update Understanding of Information Technology (An evolutionary framework for detecting protein conformation defects)

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Information Technology have been published. According to news reporting originating from Cincinnati, Ohio, by VerticalNews correspondents, research stated, "In the medical community, the demand for detecting texture abnormalities related to pathological Protein Conformation Diseases (PCD) has been increasing for years. In this paper, we use the value (V) channel of an HSV (Hue, Saturation, Value) image, which provides a measurable Detection Region of the V Channel (DRVC) for isolating muscular Intranuclear Inclusions (INIs) indicative of Oculopharyngeal Muscular Dystrophy (OPMD), one variety of PCD."

Our news editors obtained a quote from the research from the University of Cincinnati, "Derived from the Cumulative Distribution Function (CDF) computation over DRVC (CDF-DRVC), the robust cumulative histogram presents the INIs-texture-carrying intensity data as non-decreasing distributions, leading to an accurate estimation of intensities in the texture feature extraction. Beyond the proposed CDF-DRVC methodology, we introduce a methodology of feature synthesis to enhance the quality of feature representations. The experiments are conducted on irregular microscopic images (where variations in size and shape occur) in the binary classes of healthy and sick cases related to OPMD."

According to the news editors, the research concluded: "The proposed framework achieves a higher accuracy rate for the detection as compared to other methods, and exhibits a detection strategy for other types of PCD in medical applications."

For more information on this research see: An evolutionary framework for detecting protein conformation defects. Information Sciences, 2014;276():332-342. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier -; Information Sciences -

The news editors report that additional information may be obtained by contacting P.F. Guo, University of Cincinnati, Sch Informat & Comp Sci, Cincinnati, OH 45221, United States.

Keywords for this news article include: Ohio, Cincinnati, United States, Information Technology, North and Central America

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Source: Information Technology Newsweekly

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