Segmentation of Bladder and Prostate Cancer with Biological Materials Based on Center-Focus Active Shape Model

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Cancer boundary detection is an important prior task in cancer diagnosis, which will help to manage the next treatment and operation. Active shape model is proposed to solve this problem as a promising technique. But for segmentation tasks with background interference or cases such as organs with similar gray scale values, it does not always match the target contours as well as expect. This paper proposes an active shape model technique using center-focus method to robustly match the target boundaries. The algorithm has been applied on CT slices containing prostate or bladder to demonstrate the good performance of object segmentation

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103-109

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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