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Biomedical Signal and Image Processing

First published in 2005, Biomedical Signal and Image Processing received wide and welcome reception from universities and industry research;

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Biomedical Image Processing and Classification

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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and;

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Biomedical Imaging

into modern biomedical imaging and image processing and reconstruction. These techniques are not only based on advanced instrumentation for;

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Advanced Biomedical Image Analysis

intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at;

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Biomedical Signal and Image Examination with Entropy-Based Techniques

of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable;

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Digital Processing of Biomedical Images

Until recently digital processing of biomedical images was conducted solely in the research laboratories of the universities and industry;

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Handbook of Image and Video Processing

textbook for courses such as digital image processing, digital image analysis, digital video, video communications, multimedia, and biomedical;

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Student Conference Proceedings 2016

medicine, health and health care. The papers focus on the following topics: Biomedical Optics, Biochemical Physics, Biomedical Engineering, Safety;

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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;

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Biomedical Texture Analysis

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical;

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Biomedical Image Understanding

A comprehensive guide to understanding and interpreting digital images in medical and functional applications Biomedical Image;

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Biomedical Image Analysis

the emerging challenges. Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing;

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Computational Bioengineering and Bioinformatics

on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;

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Computational Bioengineering and Bioinformatics

on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;

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Progress in Image Analysis and Processing, ICIAP 2013

, human computer systems, biomedical imaging and applications, multimedia interaction and processing, 3D computer vision, and understanding;

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Image Analysis and Processing - ICIAP 2019

Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and;

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Computational Vision and Medical Image Processing IV

Image Processing. VIPIMAGE 2013 is useful to academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, course: Image processing, language: English;

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Trends and Advancements of Image Processing and Its Applications

several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking - including;

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Image and Signal Processing

filtering and representation, computer vision and pattern recognition, computer graphics, biomedical, and signal processing.;

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Image and Video Technology

, computer vision and applications, image segmentation and classification, video surveillance, biomedical image processing and analysis, object and;

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Pattern Recognition and Machine Intelligence

; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information;

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Pattern Recognition and Machine Intelligence

; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information;

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Biomedical Signal Processing for Healthcare Applications

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics;

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Signal and Image Processing Techniques for the Development of Intelligent Health

in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world;

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