Machine Learning in Computer-Aided Diagnosis : Medical Imaging Intelligence and Analysis

Kenji Suzuki

ISBN 10: 1466600594 / ISBN 13: 9781466600591

Editore: Medical Information Science Reference, 2012

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nach der Bestellung gedruckt Neuware - Printed after ordering - Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals.

Codice articolo 9781466600591

Dati bibliografici

• Titolo: Machine Learning in Computer-Aided Diagnosis : Medical Imaging Intelligence and Analysis
• Editore: Medical Information Science Reference
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1466600594
• ISBN 13: 9781466600591
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals.