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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging / edited by Kenji Suzuki, Yisong Chen.

Contributor(s): Suzuki, K. (Kenji) | Chen, Yisong., editor literario
Material type: materialTypeLabelE-bookSeries: (Intelligent Systems Reference Library, 1868-4394; 140); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (XXI, 387 páginas 140 ilustraciones, 96 ilustraciones a color).ISBN: 9783319688435.Subject: Diagnóstico por imagen | Ingeniería biomédicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources Abstract: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients' medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an "information overload" for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC78.7.D53 2018 EB (Browse shelf(Opens below)) Acceso electrónico eBook.15113123
Total holds: 0

This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients' medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an "information overload" for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

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