02570nam 2200529Ia 450 991043803810332120200520144314.0981-4451-66-510.1007/978-981-4451-66-6(OCoLC)846903708(MiFhGG)GVRL6YOA(CKB)2670000000372446(MiAaPQ)EBC1317134(EXLCZ)99267000000037244620130328d2013 uy 0engurun|---uuuuatxtccrSegmentation of hand bone for bone age assessment /Yan Chai Hum1st ed. 2013.New York Springer20131 online resource (xvi, 132 pages) illustrations (some color)SpringerBriefs in applied sciences and technology"ISSN: 2191-530X."981-4451-65-7 Includes bibliographical referenes and index.Introduction -- The conventional segmentation methods -- The advanced segmentation method -- The possible solution -- Result analysis and discussion -- Conclusions and recommendations.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.SpringerBriefs in applied sciences and technology.BonesRadiographyBonesGrowthSkeletal maturityBonesRadiography.BonesGrowth.Skeletal maturity.612.7/51612.75Hum Yan Chai1058662MiAaPQMiAaPQMiAaPQBOOK9910438038103321Segmentation of Hand Bone for Bone Age Assessment2501424UNINA