Computational Methods for Molecular Imaging. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2015
Serie: Libro 20 di 34 - Lecture Notes in Computational Vision and Biomechanics
- Rilegato
- Usato
Da: Buchpark, Trebbin, GermaniaBuchpark
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Descrizione dell’articolo da parte del venditore
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…
Codice articolo 25536903/2
- Titolo
- Computational Methods for Molecular Imaging
- Autore
- Unbekannt
- Editore
- Springer
- Anno di pubblicazione
- 2015
- Condizione
- Sehr gut
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 331918430X
- ISBN 13
- 9783319184302
- Serie
- Libro 20 di 34: Lecture Notes in Computational Vision and Biomechanics
- Cataloghi dei venditori
- Bücher
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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.