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

Kenji Suzuki




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 | #5054960 in Books |  2012-01-31 | Original language:English | PDF # 1 |  11.02 x1.13 x8.50l,3.20 | File type: PDF | 524 pages

||0 of 0 people found the following review helpful.| Excellent reference source|By David Ford|This book is an excellent source for machine learning in computer-aided diagnosis which is a rapidly growing area in medicine, especially medical imaging. It comprehensively covers recent advances in technologies and applications in major areas in the field of computer-aided diagnosis. The editor and contributors are very famous researc| |Machine learning is the core theme of most CAD methodologies. This book covers the principles and techniques of machine learning as applied to specific CAD applications in a variety of diseases and body regions, and for different imaging modalities. Twenty lea

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 researc...

You can specify the type of files you want, for your device.Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis   |  Kenji Suzuki.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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