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Titlebook: Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications; 4th International Co Yongjie Jessica Zhang,

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Pattern Classes in Retinal Fundus Images Based on Function Normse proposed methods are evaluated in a large dataset of retinal fundus images, and, besides being very fast, they achieve a reduction of the search in the dataset (for identification/recognition purposes), by 70% on average.
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Conference proceedings 2014denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.
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List of symbols and abbreviations,d moving images with respect to the missing in-between slice are computed and used for reconstruction of the missing slice. The proposed approach is evaluated quantitatively by using the Mean Squared Difference (MSD) as metric. The produced results show significant visual improvement in preserving sharp edges in images.
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Michela Schiavon,Mario Malagolimentation widely used. The promising results indicate that the system of image segmentation by the proposed approach gives good results and can be used as an efficient method of validation to other existing approaches.
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Segmentation of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledgementation widely used. The promising results indicate that the system of image segmentation by the proposed approach gives good results and can be used as an efficient method of validation to other existing approaches.
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