Segmentation of Hand Bone for Bone Age Assessment

Nonfiction, Science & Nature, Technology, Electronics, Engineering, Health & Well Being, Medical
Cover of the book Segmentation of Hand Bone for Bone Age Assessment by Yan Chai Hum, Springer Singapore
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Author: Yan Chai Hum ISBN: 9789814451666
Publisher: Springer Singapore Publication: May 25, 2013
Imprint: Springer Language: English
Author: Yan Chai Hum
ISBN: 9789814451666
Publisher: Springer Singapore
Publication: May 25, 2013
Imprint: Springer
Language: English

The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. 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 useful for students and professional researchers in the Biomedical and image processing fields.

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The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. 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 useful for students and professional researchers in the Biomedical and image processing fields.

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