Titlebook: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data ; 6th Joint Internatio M. Jorge Cardoso

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书目名称Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data 影响因子(影响力)




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Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Networkally analyzed using the trained CNN by considering the intensity values of neighboring voxels that belong to its patch. Experiments were performed with TOF MRA images of five healthy subjects, using varying numbers of images to train the CNN. Cross validations revealed that the proposed framework is

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VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedurestion and correct identification of the vessel navigated during the procedure. On a dataset of 2213 images from 8 sequences of 4 patients, VOIDD identifies vessel-of-intervention with accuracy in the range of . or above and absence of tip with accuracy in range of . or above depending on the test cas

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Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies assigning tasks such as labeling and contouring for big data medical imaging studies. This is a web-based platform and provides the tooling for both researchers and annotators, all within a simple dynamic user interface. Our annotation platform also streamlines the process of iteratively training a

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Yaniv Gur,Mehdi Moradi,Hakan Bulu,Yufan Guo,Colin Compas,Tanveer Syeda-Mahmoodengineering tools for improving pattern control and array efficiency including lattice selection, subarrray technology and pattern synthesis. Equations and figurers quantify the phenomena being described and provide the reader with the tools to tradeoff various performance features. The discussions