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This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it;
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analysis. The book's primary audience would include biomedical engineers and medical doctors, but it is also useful for hospital technicians;
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microbalance-based biosensors Lab-on-chip technologies for cell-sensing applications Enzyme biosensors Future directions for breath sensors Solid;
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Attracting the attention of the medical community, exhaled breath condensate is a completely non-invasive method for sampling secretions;
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expanded this edition beyond volatile organic compounds to cover the broad field of breath analysis, including the many exciting developments that;
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This book constitutes the refereed proceedings of the 22st Annual Conference on Medical Image Understanding and Analysis, MIUA 2018, held;
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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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synthesis. This book is an essential reference for medical device manufacturers, scientists and researchers concerned with microfluidics;
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With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image;
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analysis for studying different disorders Includes case studies, real-time examples and research directions;
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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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scientists, researchers, and clinicians with an interest in breath analysisFeatures the latest scientific research and technical;
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contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both;
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contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both;
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texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design;
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extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book;
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Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled;
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processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical;
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is aimed at professionals, scientists and engineers who are interested in integrating biosensors into medical care systems for patients. It also;
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. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image;
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Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology;
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Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology;
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Fluorescent excitation analysis (FEA) is a technique that has been utilized for some time in physics. An increasing number of biomedical;
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Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process;
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Nanomaterials for Biological and Medical Applications explores the different applications of carbon nanomaterials in drug and gene;
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, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students;
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