Computational Methods for Molecular Imaging

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Springer


Collection :

Lecture Notes in Computational Vision and Biomechanics

Paru le : 2015-06-11

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Description

This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to:
• Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities
• Molecular Imaging Enhancement
• Data Analysis of Clinical & Pre-clinical Molecular Imaging
• Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.)
• Machine Learning and Data Mining in Molecular Imaging.
Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization.
This work will bring readers from academia and industry up to date on the most recent developments in this field.
Pages
205 pages
Collection
Lecture Notes in Computational Vision and Biomechanics
Parution
2015-06-11
Marque
Springer
EAN papier
9783319184302
EAN PDF
9783319184319

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
6820 Ko
Prix
94,94 €
EAN EPUB
9783319184319

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
4516 Ko
Prix
94,94 €