Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications [electronic resource] : 4th International Conference, CompIMAGE 2014, Pittsburgh, PA, USA, September 3-5, 2014 / edited by Yongjie Jessica Zhang, Jo�ao Manuel R. S. Tavares.
Contributor(s): Zhang, Yongjie Jessica [editor.] | Tavares, Jo�ao Manuel R. S [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 8641Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XXVI, 414 p. 206 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319099941.Subject(s): Computer science | Health informatics | Data mining | Computer simulation | Image processing | Pattern recognition | Computer Science | Image Processing and Computer Vision | Pattern Recognition | Health Informatics | Simulation and Modeling | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 Online resources: Click here to access onlineMedical Treatment, Imaging and Analysis -- Image Registration, Denoising 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 -- Computer Vision and Data-Driven Investigations.
This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising 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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