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{ "item_title" : "Machine Learning in Computer-Aided Diagnosis", "item_author" : [" Kenji Suzuki "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/46/660/059/1466600594_b.jpg", "price_data" : { "retail_price" : "245.00", "online_price" : "245.00", "our_price" : "245.00", "club_price" : "245.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning in Computer-Aided Diagnosis|Kenji Suzuki

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

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Overview

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.

Details

  • ISBN-13: 9781466600591
  • ISBN-10: 1466600594
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: January 2012
  • Dimensions: 10.9 x 8.7 x 1.3 inches
  • Shipping Weight: 3.2 pounds
  • Page Count: 526

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