Pattern Recognition and Signal Analysis in Medical Imaging

Pattern Recognition and Signal Analysis in Medical Imaging
Author: Anke Meyer-Baese,Volker J. Schmid
Publsiher: Elsevier
Total Pages: 466
Release: 2014-03-21
ISBN 10: 0124166156
ISBN 13: 9780124166158
Language: EN, FR, DE, ES & NL

Pattern Recognition and Signal Analysis in Medical Imaging Book Review:

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Pattern Recognition for Medical Imaging

Pattern Recognition for Medical Imaging
Author: Anke Meyer-Bäse
Publsiher: Academic Press
Total Pages: 386
Release: 2004
ISBN 10: 0124932908
ISBN 13: 9780124932906
Language: EN, FR, DE, ES & NL

Pattern Recognition for Medical Imaging Book Review:

Essential tool for students and professionals that compiles and explains proven and cutting-edge methods in pattern recognition for medical imaging.

Biomedical Signal Analysis

Biomedical Signal Analysis
Author: Fabian J. Theis,Anke Meyer-Bäse
Publsiher: MIT Press
Total Pages: 415
Release: 2010
ISBN 10: 0262013282
ISBN 13: 9780262013284
Language: EN, FR, DE, ES & NL

Biomedical Signal Analysis Book Review:

A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice. Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.

Image Analysis and Recognition

Image Analysis and Recognition
Author: Fakhri Karray,Aurélio Campilho,Alfred Yu
Publsiher: Springer
Total Pages: 475
Release: 2019-08-12
ISBN 10: 3030272028
ISBN 13: 9783030272029
Language: EN, FR, DE, ES & NL

Image Analysis and Recognition Book Review:

This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019. The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.

Medical Imaging

Medical Imaging
Author: K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Publsiher: CRC Press
Total Pages: 238
Release: 2019-08-20
ISBN 10: 0429642490
ISBN 13: 9780429642494
Language: EN, FR, DE, ES & NL

Medical Imaging Book Review:

The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Developments and Applications for ECG Signal Processing

Developments and Applications for ECG Signal Processing
Author: Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner
Publsiher: Academic Press
Total Pages: 210
Release: 2018-11-29
ISBN 10: 0128140364
ISBN 13: 9780128140369
Language: EN, FR, DE, ES & NL

Developments and Applications for ECG Signal Processing Book Review:

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. Gives comprehensive coverage of ECG signal processing Presents development and parametrization techniques for ECG signal acquisition systems Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios

Pattern Recognition and Prediction with Applications to Signal Processing

Pattern Recognition and Prediction with Applications to Signal Processing
Author: David H. Kil,Frances B. Shin
Publsiher: American Institute of Physics
Total Pages: 418
Release: 1997-08-01
ISBN 10: 1563964775
ISBN 13: 9781563964770
Language: EN, FR, DE, ES & NL

Pattern Recognition and Prediction with Applications to Signal Processing Book Review:

Market: Engineers and researchers in neural networks, image processing, audio/speech, and medical imaging. This book begins by focusing on the theoretical aspect of pattern recognition and introduces an integrated pattern recognition paradigm, which combines preprocessing, low dimensional signal characterization, feature optimization, and mapping classifier architecture to good features in a seamless fashion. Later, the authors reinforce the concepts of pattern recognition and prediction with challenging real- world examples, encompassing financial market prediction, image coding, active and passive sonar processing, chaos modeling, and intelligent product design.

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Machine Learning in Bio Signal Analysis and Diagnostic Imaging
Author: Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
Publsiher: Academic Press
Total Pages: 345
Release: 2018-11-30
ISBN 10: 012816087X
ISBN 13: 9780128160879
Language: EN, FR, DE, ES & NL

Machine Learning in Bio Signal Analysis and Diagnostic Imaging Book Review:

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Histopathological Image Analysis in Medical Decision Making

Histopathological Image Analysis in Medical Decision Making
Author: Dey, Nilanjan,Ashour, Amira S.,Kalia, Harihar,Goswami, R.T.,Das, Himansu
Publsiher: IGI Global
Total Pages: 340
Release: 2018-09-21
ISBN 10: 1522563172
ISBN 13: 9781522563174
Language: EN, FR, DE, ES & NL

Histopathological Image Analysis in Medical Decision Making Book Review:

Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

Guide to Medical Image Analysis

Guide to Medical Image Analysis
Author: Klaus D. Toennies
Publsiher: Springer
Total Pages: 589
Release: 2017-03-29
ISBN 10: 1447173201
ISBN 13: 9781447173205
Language: EN, FR, DE, ES & NL

Guide to Medical Image Analysis Book Review:

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.

Pattern Recognition and Classification

Pattern Recognition and Classification
Author: Geoff Dougherty
Publsiher: Springer Science & Business Media
Total Pages: 196
Release: 2012-10-28
ISBN 10: 1461453232
ISBN 13: 9781461453239
Language: EN, FR, DE, ES & NL

Pattern Recognition and Classification Book Review:

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

Syntactic Pattern Recognition

Syntactic Pattern Recognition
Author: Flasinski Mariusz
Publsiher: World Scientific
Total Pages: 404
Release: 2019-03-25
ISBN 10: 981327848X
ISBN 13: 9789813278486
Language: EN, FR, DE, ES & NL

Syntactic Pattern Recognition Book Review:

This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed.This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence.

Terahertz Imaging for Biomedical Applications

Terahertz Imaging for Biomedical Applications
Author: Xiaoxia Yin,Brian W.-H. Ng,Derek Abbott
Publsiher: Springer Science & Business Media
Total Pages: 316
Release: 2012-03-23
ISBN 10: 1461418208
ISBN 13: 9781461418207
Language: EN, FR, DE, ES & NL

Terahertz Imaging for Biomedical Applications Book Review:

Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information. Terahertz imaging systems are being commercialized, with increasing trials performed in a biomedical setting. As a result, advanced digital image processing algorithms are needed to assist screening, diagnosis, and treatment. "Pattern Recognition and Tomographic Reconstruction" presents these necessary algorithms, which will play a critical role in the accurate detection of abnormalities present in biomedical imaging. Terhazertz tomographic imaging and detection technology contributes to the ability to identify opaque objects with clear boundaries, and would be useful to both in vivo and ex vivo environments, making this book a must-read for anyone in the field of biomedical engineering and digital imaging.

Pattern Recognition and Signal Processing in Archaeometry Mathematical and Computational Solutions for Archaeology

Pattern Recognition and Signal Processing in Archaeometry  Mathematical and Computational Solutions for Archaeology
Author: Papaodysseus, Constantin
Publsiher: IGI Global
Total Pages: 330
Release: 2011-10-31
ISBN 10: 1609607872
ISBN 13: 9781609607876
Language: EN, FR, DE, ES & NL

Pattern Recognition and Signal Processing in Archaeometry Mathematical and Computational Solutions for Archaeology Book Review:

Computer science—especially pattern recognition, signal processing and mathematical algorithms—can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: Alvaro Pardo,Josef Kittler
Publsiher: Springer
Total Pages: 787
Release: 2015-10-24
ISBN 10: 331925751X
ISBN 13: 9783319257518
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition
Author: K. C. Santosh,Bharti Gawali
Publsiher: Springer Nature
Total Pages: 375
Release: 2021-03-22
ISBN 10: 9811604932
ISBN 13: 9789811604935
Language: EN, FR, DE, ES & NL

Recent Trends in Image Processing and Pattern Recognition Book Review:

This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020. The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision and applications; Data science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and recognition; Signal processing and pattern recognition; Image and signal processing in Agriculture.

Recent Advances in Biomedical Signal Processing

Recent Advances in Biomedical Signal Processing
Author: Juan Manuel Górriz,Elmar W. Lang,Javier Ramírez
Publsiher: Bentham Science Publishers
Total Pages: 271
Release: 2011
ISBN 10: 1608052184
ISBN 13: 9781608052189
Language: EN, FR, DE, ES & NL

Recent Advances in Biomedical Signal Processing Book Review:

"Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated medical imaging systems. Acquisition and processing of bio"

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition
Author: KC Santosh
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3031070054
ISBN 13: 9783031070051
Language: EN, FR, DE, ES & NL

Recent Trends in Image Processing and Pattern Recognition Book Review:

Medical Image Understanding Technology

Medical Image Understanding Technology
Author: Ryszard Tadeusiewicz
Publsiher: Springer
Total Pages: 156
Release: 2012-08-27
ISBN 10: 3540409971
ISBN 13: 9783540409977
Language: EN, FR, DE, ES & NL

Medical Image Understanding Technology Book Review:

A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.

Classification and Clustering in Biomedical Signal Processing

Classification and Clustering in Biomedical Signal Processing
Author: Dey, Nilanjan
Publsiher: IGI Global
Total Pages: 463
Release: 2016-04-07
ISBN 10: 152250141X
ISBN 13: 9781522501411
Language: EN, FR, DE, ES & NL

Classification and Clustering in Biomedical Signal Processing Book Review:

Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.