Information Processing in Medical Imaging [electronic resource] : 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings / edited by Marc Niethammer, Martin Styner, Stephen Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen.
Contributor(s): Niethammer, Marc [editor.] | Styner, Martin [editor.] | Aylward, Stephen [editor.] | Zhu, Hongtu [editor.] | Oguz, Ipek [editor.] | Yap, Pew-Thian [editor.] | Shen, Dinggang [editor.] | SpringerLink (Online service).
Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10265Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVI, 687 p. 285 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319590509.Subject(s): Computer vision | Pattern recognition systems | Medical informatics | Radiology | Artificial intelligence | Computer science -- Mathematics | Mathematical statistics | Computer Vision | Automated Pattern Recognition | Health Informatics | Radiology | Artificial Intelligence | Probability and Statistics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access onlineAnalysis on manifolds -- Shape analysis -- Disease diagnosis/progression -- Brain networks an connectivity -- Diffusion imaging -- Quantitative imaging -- Imaging genomics -- Image registration -- Segmentation -- General image analysis. <.
This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis.
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