Rajiah prabhakar (24 Ergebnisse)

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Paperback. Zustand: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.…

Sprache: Englisch
Verlag: Elsevier, 2019
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Soft cover. Zustand: Very Good. 1st Edition. This book has been read, but is in a clean and very good condition. All pages are intact with no highlighting or writing contained within. The spine remains undamaged with tight binding. Fast dispatch within and from the UK. 100% money back guarantee.

Cardiac CT Imaging, An Issue of Radiologic Clinics of North America (Volume 57-1) (The Clinics: Radiology, Volume 57-1)
Rajiah MBBS MD FRCR FACR, Prabhakar and Suhny Abbara MD FACR MSCCT FNASCI:
Sprache: Englisch
Verlag: Elsevier, 2019
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hardcover. Zustand: Sehr gut. Seiten; 9780323655033.2 Gewicht in Gramm: 7.

Cardiac CT Imaging, An Issue of Radiologic Clinics of North America, 1e: Volume 57-1 (The Clinics: Radiology)
Abbara MD FACR FSCCT, Suhny/ Rajiah MBBS M.D FRCR, Prabhakar
Sprache: Englisch
Verlag: Elsevier, 2018
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Hardcover. Zustand: new. Hardcover. This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field. The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardcover. Zustand: new. Hardcover. This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field. The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Sprache: Englisch
Verlag: Elsevier Health Sciences, 2019
- Hardcover
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Zustand: New. Autor/Autorin: Suhny AbbaraSuhny Abbara, MD, FACR, MSCCT, FNASCI, is a Professor in the Department of Radiology and Chief of Cardiothoracic Imaging at UT Southwestern Medical Center in Dallas, TexasThis issue of Radiologic Clinics of North Amer.

Cardiac CT Imaging, An Issue of Radiologic Clinics of North America, 1e: Volume 57-1 (The Clinics: Radiology)
Abbara MD FACR FSCCT, Suhny/ Rajiah MBBS M.D FRCR, Prabhakar
Sprache: Englisch
Verlag: Elsevier, 2018
- Hardcover
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Hardcover. Zustand: new. Hardcover. This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field. The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

- Hardcover
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- Hardcover
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Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Cardiac CT Imaging, An Issue of Radiologic Clinics of North America (Volume 57-1) (The Clinics: Radiology, Volume 57-1) Rajiah MBBS MD FRCR FACR, Prabhakar and Suhny Abbara MD FACR MSCCT FNASCI
Rajiah MBBS MD FRCR FACR, Prabhakar and Suhny Abbara MD FACR MSCCT FNASCI
Sprache: Englisch
Verlag: Elsevier, 2019
- Hardcover
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Zustand: gut. 2019. Cardiac CT Imaging, An Issue of Radiologic Clinics of North America (Volume 57-1) (The Clinics: Radiology, Volume 57-1) In englischer Sprache. pages.

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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field.The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging. 587 pp. Englisch.…

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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field. The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 612 pp. Englisch.…

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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a comprehensive review of quantitative imaging, from extraction of features to creating AI and machine specific algorithms. Quantitative imaging is the extraction of quantifiable features from images for the assessment of normality, severity, and degree of change. It includes the development, standardization, and optimization of protocols, data analysis, and display/reporting methods to allow for validation of image derived metrics. The radiology report is comprised of both qualitative and quantitative data. The former is narrative, detail oriented, easier for patients and other providers to understand, but difficult to summarize and hard to relate to outcome measures. Quantitative imaging on the other hand is objective and can be used in complex statistical calculations, but cannot really stand alone and needs stringent quality measures in order to preserve accuracy and reproducibility. With an increasing focus on AI and machine learning and the need to build patientand disease specific algorithms, this book offers a common ground for physicians, radiologists and data scientists to reference and further advance the field.The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics. This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging.…