Atjaunināt sīkdatņu piekrišanu

Medical Image Computing and Computer Assisted Intervention MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 2018 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 964 pages, height x width: 235x155 mm, weight: 1496 g, 352 Illustrations, color; 217 Illustrations, black and white; XXXII, 964 p. 569 illus., 352 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11071
  • Izdošanas datums: 14-Sep-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030009335
  • ISBN-13: 9783030009335
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 96,89 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 113,99 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 964 pages, height x width: 235x155 mm, weight: 1496 g, 352 Illustrations, color; 217 Illustrations, black and white; XXXII, 964 p. 569 illus., 352 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11071
  • Izdošanas datums: 14-Sep-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030009335
  • ISBN-13: 9783030009335
Citas grāmatas par šo tēmu:

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.

The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications.
Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.
Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications. 

Part I: Image Quality and Artefacts; Image Reconstruction Methods;
Machine Learning in Medical Imaging; Statistical Analysis for Medical
Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications;
Histology Applications; Microscopy Applications; Optical Coherence Tomography
and Other Optical Imaging Applications. Cardiac, Chest and Abdominal
Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver
Imaging Applications; Lung Imaging Applications; Breast Imaging Applications;
Other Abdominal Applications.



Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor
Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome.
Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation
Methods.



Part IV: Computer Assisted Intervention: Image Guided Interventions and
Surgery; Surgical Planning, Simulation and Work Flow Analysis;Visualization
and Augmented Reality. Image Segmentation Methods: General Image Segmentation
Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal
Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine
Segmentation; Other Segmentation Applications.