Segmentation of Hand Bone for Bone Age Assessment
Yan Chai Hum
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Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges
Beschreibung
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.
Kundenbewertungen
Automated Anisotropic Diffusion, Central Segmentation Algorithm, Clustering Algorithm, Ossification Development, Active Contour Model, Edge Detectors, Fuzzy Quadruple Division, Seeded Region Growing, Thresholding, Region Splitting and Merging, Watershed Segmentation, Bone Age Assessment, Hand Bone Segmentation