Machine Learning in Computer-Aided Diagnosis

Medical Imaging Intelligence and Analysis

Nonfiction, Computers, Advanced Computing, Theory, Engineering, Computer Engineering, General Computing
Cover of the book Machine Learning in Computer-Aided Diagnosis by , IGI Global
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Author: ISBN: 9781466604544
Publisher: IGI Global Publication: January 31, 2012
Imprint: Medical Information Science Reference Language: English
Author:
ISBN: 9781466604544
Publisher: IGI Global
Publication: January 31, 2012
Imprint: Medical Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

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