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Computational Methods for Molecular Imaging: 22 (Lecture Notes in Computational Vision and Biomechanics, 22) - Tapa dura

Libro 20 de 34: Lecture Notes in Computational Vision and Biomechanics
 
9783319184302: Computational Methods for Molecular Imaging: 22 (Lecture Notes in Computational Vision and Biomechanics, 22)
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ISBN 10: 331918430X ISBN 13: 9783319184302
Editorial: Springer, 2015

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
331918430X
ISBN 13 
9783319184302
Encuadernación
Tapa dura
Número de páginas
216
Editor
Gao Fei, Shi Kuangyu, Li Shuo
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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