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

Hum, Yan Chai

 
9789814451659: Segmentation of Hand Bone for Bone Age Assessment (SpringerBriefs in Applied Sciences and Technology)
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ISBN 10: 9814451657 ISBN 13: 9789814451659
Editorial: Springer, 2013

Sinopsis

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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Acerca del autor

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.

De la contraportada

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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Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
9814451657
ISBN 13 
9789814451659
Encuadernación
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Número de páginas
148
Contacto del fabricante
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Otras ediciones populares con el mismo título

9789814451673: Segmentation of Hand Bone for Bone Age Assessment

Edición Destacada

ISBN 10:  9814451673 ISBN 13:  9789814451673
Editorial: Springer, 2013
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