Download PDF by Khin Wee Lai, Yan Chai Hum, Maheza Irna Mohamad Salim,: Advances in Medical Diagnostic Technology

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

ISBN-10: 9814585718

ISBN-13: 9789814585712

ISBN-10: 9814585726

ISBN-13: 9789814585729

This publication offers the newest findings and data in complex diagnostics expertise, overlaying a large spectrum together with mind job research, breast and lung melanoma detection, echocardiography, laptop aided skeletal review to mitochondrial biology imaging on the mobile point. The authors explored magneto acoustic ways 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 illnesses in addition to using Computer-Aided process (CAD) also are mentioned within the publication. This publication could be beneficial for college students, teachers or specialist researchers within the box of biomedical sciences and photograph processing.

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Insufficient training examples lead to failure in generalizing the mean structure’s shape. 4. The nature of hand bone development of children: different numbers and sizes of bones in different ranges of age complicated the implementation ASM and AAM especially in establishing the general form of mean shape. 5. The alignment phase is uncertain in terms of its numerical stability: the convergence of the mean model in the iterative method has not been devised mathematically and prone to errors. 6.

2. The number of landmarks has to be specified by user manually. Insufficient landmarks lead to failure in obtaining the shape of the targeted structures; excessive landmarks lead to computational inefficiency. 3. The training phase requires a lot of training examples in database which is not necessarily available in many applications. Insufficient training examples lead to failure in generalizing the mean structure’s shape. 4. The nature of hand bone development of children: different numbers and sizes of bones in different ranges of age complicated the implementation ASM and AAM especially in establishing the general form of mean shape.

They also proposed Gao et al. (2010) segmentation of hand bone during preprocessing using the analysis on histogram. By inspecting the peak of the histogram, the authors identify the soft tissue region and the background. Hsieh et al. (2007) incorporate adaptive segmentation method with Gibbs random field at the preprocessing stage. Zhang et al. (2007) suggest segmenting the carpal by non-liner filter as preprocessing follows by adaptive image threshold setting, binary image labeling, and small object removal.

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Advances in Medical Diagnostic Technology 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


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