2003
DOI: 10.1016/s0895-6111(03)00053-3
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Hand bone segmentation in radioabsorptiometry images for computerised bone mass assessment

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Cited by 27 publications
(16 citation statements)
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“…Unlike our automated technique, their method of initialization is time-consuming. Sotoca et al [18] have used an ASM to segment the middle phalanx from hand radiographic images. However, they do not validate the accuracy of the segmentation but claim success based on results of BMD measurements based on the ASM segmentation.…”
Section: Resultsmentioning
confidence: 99%
“…Unlike our automated technique, their method of initialization is time-consuming. Sotoca et al [18] have used an ASM to segment the middle phalanx from hand radiographic images. However, they do not validate the accuracy of the segmentation but claim success based on results of BMD measurements based on the ASM segmentation.…”
Section: Resultsmentioning
confidence: 99%
“…Their approach relies on an oversegmentation using the watershed algorithm and region of interest extraction and merging algorithms to segment soft tissue and background from noise. Sotoca et al [19] proposed a semiautomatic approach where a user places the template at or near the center of a bone and the contour is approximated using active shape models (ASM).…”
Section: Related Workmentioning
confidence: 99%
“…The result is satisfying but it involves complicated and heavy computing consumption while computing the partial differential equation. Active contour model [25] has been used in segmenting the bone, the methods [12] c-means clustering algorithm, Gibbs random fields and estimation of the intensity function have been proposed by Pietka et al They also proposed [26] segmentation of hand bone during pre-processing using the analysis on histogram. By inspecting the peak of the histogram, the authors identify the soft-tissue region and the background.…”
Section: Introductionmentioning
confidence: 99%