文章基本信息

标题：Computer-aided Bone Tumor Segmentation Using X-ray Images
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作者：Sonam Bansal ; Ajay Mittal
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：CAD is useful to doctors for diagnosis. It reduces inter and intra-observer variations, are more reliable and accurate. There are various medical imaging modalities but X-rays found to be the first and foremost technique used for imaging bones because they are inexpensive and due to their inherent nature that different tissues absorb X-rays differently. There are various cues for segmentation i.e. intensity, density and texture. Hybrid techniques are always beneficial as compared to individual cue based techniques. In the paper, intensity and density cues are opted for bone tumor segmentation because texture is more prevalent in microscopic images. Thus, bone tumor is segmented using adaptive thresholding and local density-based clustering. The results are qualitatively and quantitatively evaluated against various parameters. The proposed segmentation shows 89% accurate results as compared to other techniques.
关键词：Bone tumor segmentation; local density-based clustering; adaptive thresholding; hybrid medical ;segmentation; Quantitative analysis