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of intense research in recent years. This book is the first of its kind on the topic of computer-aided cytogenetic method of cancer diagnosis and;
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and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a;
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following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;
Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;
Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
topics such as prostate segmentation, multi-modal prostate registration, and computer-aided diagnosis and classification of prostate cancer.;
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. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today;
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. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today;
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Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image;
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Computer-Aided Method Engineering (CAME) is about generation and use of information design techniques according to user needs. This work;
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Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine;
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detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis;
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lesions. Computer-aided diagnosis has been an active area of research to detect abnormalities in a mammogram automatically. The focus of this;
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for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral;
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discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage;
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diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available;
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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;
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, such as lesion miss rate, lack of in vivo diagnosis capabilities, and perforation risk. To mitigate these, computer-aided detectiondiagnosis;
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activity analysis, breast and lung cancer detection, echocardiography, computer aided skeletal assessment to mitochondrial biology imaging at the;
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Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as;
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diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;
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diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;
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, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis;
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, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.;
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The main objective of the authors is to deliver specifications and underlying concepts for future computer-aided tools for the design and;
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Imaging; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment;
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experts Presents tools to improve computer aided diagnosis;
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analysis. It does this by presenting the concept of computer modeling of real-life structures by focusing on modern matrix method of analysis along;
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