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Activity Number:
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355
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Type:
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Other
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Date/Time:
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Wednesday, August 9, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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The ASA
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| Abstract - #305124 |
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Title:
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Image Statistics
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Author(s):
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Eugene Demidenko*+
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Companies:
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Dartmouth Medical School
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Address:
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7927 Rubin, Lebanon, NH, 03756,
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Keywords:
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image processing ; t-test ; Kolmogorov-Smirnov ; cancer imaging ; image registration ; histogram equalization
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Abstract:
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It is well known that statistics is an interdisciplinary science. It would be an overstatement to say that statistics does not play a role in imaging. However, it would be correct to say that statistics is not presented at the level it deserves. Most authors of image science are from engineering and computer science departments and there are only a few occasions when images are treated from a statistical perspective. There exists a great demand in image analysis from a statistical point of view. Especially important is the task of statistical image comparison. I consider three example of statistical image analysis: statistical comparison of four groups of cancer treatment using histology imaging, reduction of a color image to a grey scale image, and hypothesis testing for post-reconstructed and post-registered medical images.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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