[PDF.06dt] Computing Irregularity for Features in Medical Images: A Case Study of Malignant Melanoma, a skin cancer

Computing Irregularity for Features in Medical Images: A Case Study of Malignant Melanoma, a skin cancer

[PDF.fe57] Computing Irregularity for Features in Medical Images: A Case Study of Malignant Melanoma, a skin cancer

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 |  2010-07-22 | Original language:English | PDF # 1 |  8.66 x.52 x5.91l,.75 | File type: PDF | 228 pages

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||About the Author|Dr. Benjamin Aribisala has PhD Computer Science which he obtained from University of Birmingham, UK. His research interests include image processing and analysis, magnetic resonance imaging, mathematical and statistical modelling. Benjamin i

The irregularity of a lesion border has been identified as the most significant factor in the diagnosis of malignant melanoma. The objective of the research was to find objective computable measures of contour irregularity and to apply them to skin lesions. A descriptive definition of irregularity was formulated which defines irregularity in terms of the five attributes: departure from a typical sequence (deviation), lack of obvious description, lack of compres...

You easily download any file type for your device.Computing Irregularity for Features in Medical Images: A Case Study of Malignant Melanoma, a skin cancer   |  Benjamin Aribisala. I was recommended this book by a dear friend of mine.

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