By Khin Wee Lai, Yan Chai Hum, Maheza Irna Mohamad Salim, Sang-Bing Ong, Nugraha Priya Utama, Yin Mon Myint, Norliza Mohd Noor, Eko Supriyanto
This publication presents the newest findings and information in complex diagnostics know-how, masking a large spectrum together with mind task research, breast and lung melanoma detection, echocardiography, computing device aided skeletal review to mitochondrial biology imaging on the mobile point. The authors explored magneto acoustic techniques and tissue elasticity imaging for the aim of breast melanoma detection. views in fetal echocardiography from a picture processing perspective are integrated. Diagnostic imaging within the box of mitochondrial ailments in addition to using Computer-Aided procedure (CAD) also are mentioned within the booklet. This booklet can be important for college kids, academics or specialist researchers within the box of biomedical sciences and picture processing.
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There are abundant of hand bone segmentation techniques found in the literatures, but very few of which, if ever, is functioning as an effective and yet remains fully automated. The research problem, therefore, is to explore the question: Is there any method that can realize the goal of performing the automated segmentation task that is relatively much more effective than fundamental segmentation techniques but yet is unaffected by constraints such as training sets and human intervention that are invariably pertain to sophisticated techniques?
Region-based segmentation is insensitive to image semantics; it does not recognize object but only predefined membership function. Besides, the design of the region membership is as difficult as setting a threshold value; region-based segmentation is unable to separate multiple disconnected objects simultaneously. The assumption that the region within a group of object is homogenous has low practical value in hand bone segmentation due to the fact that the bone is formed by cancellous bone and cortical bone that has high variations on texture and intensity range.
M. my Y. M. my M. I. my K. W. 1007/978-981-4585-72-9_2, Ó Springer Science+Business Media Singapore 2014 23 24 Y. C. Hum et al. fuzzy quadruple division scheme to optimize the central segmentation algorithm, and finally, the process ends with an additional quality assurance scheme. The designed segmentation framework works without the need of resources such as training sets and skillful operator. The quantitative and qualitative analysis of the resultant images have both shown that the designed framework is capable of separating the soft tissue and background from the hand bone with relatively high accuracy despite omitting the above-mentioned resources.