Segmentation of Hand Bone for Bone Age Assessment (Paperback, 2013 ed.)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	June 2013
First published:	2013
Authors:	Yan Chai Hum
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	132
Edition:	2013 ed.
ISBN-13:	978-981-4451-65-9
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-4451-65-7
Barcode:	9789814451659

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