Segmentation of Hand Bone for Bone Age Assessment - Brossura

Hum, Yan Chai

 
9789814451659: Segmentation of Hand Bone for Bone Age Assessment
Brossura
ISBN 10: 9814451657 ISBN 13: 9789814451659
Casa editrice: Springer, 2013

Sinossi

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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Informazioni sull?autore

Dr. Hum Yan Chai received his PhD in the field of Biomedical Imaging from the Universiti Teknologi Malaysia (UTM). He is currently working as a researcher in the Medical Implant Technology Group (MEDITEG), Materials and Manufacturing Research Alliance. His research interests are: computerized bone age assessment, Digital X-Ray imaging, medical image processing, filter design, fuzzy logic, medical computing and performance optimization. He serves as the member of editorial board for a few international journals in relevant fields. He is also a program committee member and peer reviewer for over 15 international conferences.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2013
Lingua
Inglese
ISBN 10 
9814451657
ISBN 13 
9789814451659
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
148
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Altre edizioni note dello stesso titolo

9789814451673: Segmentation of Hand Bone for Bone Age Assessment

Edizione in evidenza

ISBN 10:  9814451673 ISBN 13:  9789814451673
Casa editrice: Springer, 2013
Brossura