Segmentation of Hand Bone for Bone Age Assessment Free

Author: Yan Chai Hum
Edition: 2013
Binding: Paperback
ISBN: 9814451657

Segmentation of Hand Bone for Bone Age Assessment (SpringerBriefs in Applied Sciences and Technology)

The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. Download Segmentation of Hand Bone for Bone Age Assessment (SpringerBriefs in Applied Sciences and Technology) from rapidshare, mediafire, 4shared. The task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme. The designed segmentation framework works without demanding scarce resources such as training sets and skillful operators. The results have shown that the designed framework is capable of separating the soft-tissue and background from the hand bone with high accuracy. This Brief should be especially Search and find a lot of engineering books in many category availabe for free download.

Segmentation of Hand Bone for Bone Age Assessment Free

Download Segmentation of Hand Bone for Bone Age Assessment engineering books for free. The task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme. The designed segmentation framework works without demanding scarce resources such as training sets and skillful operators. The results have shown that the designed framework is capable of separating the soft-tissue and background from the hand bone with high accuracy he task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme. The designed segmentation framework works without demanding scarce resources such as training sets and skillful operators. The results have shown that the designed framework is capable of separating the soft-tissue and background from the hand bone with high accuracy. This Brief should be especially

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