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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep;

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Image Processing Using FPGAs

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Biomedical Signal and Image Processing

EMG, while the third focuses on imaging using CT, X-Ray, MRI, ultrasound, positron, and other biomedical imaging techniques. Updated and;

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Design for Embedded Image Processing on FPGAs

studies * Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs;

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Biomedical Signal and Image Examination with Entropy-Based Techniques

computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information;

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Biomedical Image Registration

This book constitutes the refereed proceedings of the 8th International Workshop on Biomedical Image Registration, WBIR 2018, held;

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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

, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for;

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Computational Bioengineering and Bioinformatics

focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis;

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Computational Bioengineering and Bioinformatics

focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis;

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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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Progress in Image Analysis and Processing, ICIAP 2013

This two volume set (LNCS 8156 and 8157) constitutes the refereed proceedings of the 17th International Conference on Image Analysis and;

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Biomedical Image Understanding

Understanding focuses on image understanding and semantic interpretation, with clear introductions to related concepts, in-depth theoretical analysis;

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Digital Processing of Biomedical Images

year in 1980. This enormous volume of activity has stimulated further re- search in biomedical image processing in the last two years with the;

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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

imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical;

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Architecture-Aware Optimization Strategies in Real-Time Image Processing

performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to;

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Handbook of Image and Video Processing

novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia;

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Biomedical Image Registration

This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which;

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Image Processing and Analysis with Graphs

graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to;

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Biomedical Image Processing and Classification

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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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Image and Video Technology

This book constitutes the thoroughly refereed post-conference proceedings of the 7th Pacific Rim Symposium on Image and Video Technology;

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Image Processing

Covering image processing from basics to advanced applications, you can learn how to master image processing and compression with this;

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DataFlow Supercomputing Essentials

improved through implementation on a DataFlow architecture; reviews the different way of thinking required to best configure the DataFlow engines;

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3-D Image Processing Algorithms

theoretical background is provided for each topic, along with a number of algorithms, selected on the basis of their acceptance by the scientific;

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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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