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Computer-Aided Detection And Diagnosis In Medical Imaging at Meripustak

Computer-Aided Detection And Diagnosis In Medical Imaging by Qiang Li and Robert M Nishikawa, CRC Press

Books from same Author: Qiang Li and Robert M Nishikawa

Books from same Publisher: CRC Press

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  • General Information  
    Author(s)Qiang Li and Robert M Nishikawa
    PublisherCRC Press
    Edition1st Edition
    ISBN9781439871768
    Pages454
    BindingHardbound
    LanguageEnglish
    Publish YearApril 2015

    Description

    CRC Press Computer-Aided Detection And Diagnosis In Medical Imaging by Qiang Li and Robert M Nishikawa

    Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.


    Key Features:-

    • 240 black & white illustrations, 28 black & white tables


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