Titlebook: Biomedical Engineering Systems and Technologies; 10th International J Nathalia Peixoto,Margarida Silveira,Egon L. van de Conference proceed

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书目名称Biomedical Engineering Systems and Technologies影响因子(影响力)学科排名




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书目名称Biomedical Engineering Systems and Technologies网络公开度学科排名




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书目名称Biomedical Engineering Systems and Technologies被引频次学科排名




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书目名称Biomedical Engineering Systems and Technologies年度引用学科排名




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书目名称Biomedical Engineering Systems and Technologies读者反馈学科排名

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SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stageemic areas is often limited by the lack of trained personnel and adequate equipment. These drawbacks are closely related with the increasing interest in the development of computer-aided diagnosis systems, particularly distributed solutions that provide access to complex diagnosis in rural areas. In

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irradicable

Microfluidic Devices Integrating Clinical Alternative Diagnostic Techniques Based on Cell Mechanicalsystem for cancer detection. The chip uses electrowetting for droplet transport and cell deformability, on an open configuration. The chip configuration is analyzed towards various steps, from the selection of the materials, to the evaluation of the chip performance. Wetting properties of the select

dilute

Airtight

Novel Pattern Recognition Method for Analysis the Radiation Exposure in Cancer Treatmente accurate measurement of the radiation dose. The radiation beams enter the body from different directions to concentrate on the tumour. The centre of the tumour has to be precisely located relatively to patient’s skin surface, so the radiation does not affect healthy tissue and produces successful

maintenance

lipoatrophy

易于出错

Tracking Anterior Mitral Leaflet in Echocardiographic Videos Using Morphological Operators and Activstretched which interrupts the normal blood flow, resulting into serious health condition. Measuring and quantifying clinically relevant features, like thickness, mobility and shape can help to analyze the functionality of the valve, identify early cases of disease and reduce the disease burden. To

intellect

Convolutional Neural Network Based Segmentation of Demyelinating Plaques in MRIof the processed image constant. This, in consequence, allows to apply it for image segmentation tasks where for a given image a mask representing sought regions should be produced. An additional advantage of this architecture is its ability to learn from smaller images which reduces the amount of d