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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch. Seller Inventory # 9783319184302
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Condition: Sehr gut. 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. Seller Inventory # 25536903/2
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book to focus on this topicState of the art in developing subjectWith implications and information of immediate use for practitionersThis volume contains original submissions on the development and application of molecular . Seller Inventory # 31548507
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