Pattern Recognition In Diagnostic Imaging PDF Download
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| Author | : Anke Meyer-Baese |
| Publisher | : Elsevier |
| Total Pages | : 466 |
| Release | : 2014-03-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0124166156 |
Download Pattern Recognition and Signal Analysis in Medical Imaging Book in PDF, ePub and Kindle
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
| Author | : Anke Meyer-Bäse |
| Publisher | : Academic Press |
| Total Pages | : 410 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 0124932908 |
Download Pattern Recognition and Signal Analysis in Medical Imaging Book in PDF, ePub and Kindle
Essential tool for students and professionals that compiles and explains proven and cutting-edge methods in pattern recognition for medical imaging.
| Author | : World Health Organization |
| Publisher | : |
| Total Pages | : 215 |
| Release | : 2001-07 |
| Genre | : |
| ISBN | : 9789241546324 |
Download Pattern Recognition in Diagnostic Imaging Book in PDF, ePub and Kindle
This book focuses on how to perform and interpret X-rays examinations in countries where diagnostic imaging has not yet reached the stage of molecular imaging and where many primary care physicians have had little or no training in the interpretation of images both radiographic and sonographic. It provides images of common pathologies seen in many developing countries in a pattern format. These include chest musculoskeletal gastrointestinal and urinary tract patterns. The pattern recognition format has been used successfully both by national and international radiographic societies to educate and train radiographers and physicians working in regions where advice or services from radiologists are unavailable. This book which is fully illustrated both with X-ray images and drawings will be useful to radiographers and radiological technologists in developing countries and will also prove valuable for other medical professionals referring patients to diagnostic imaging and eventually also performing and interpreting X-rays examinations.
| Author | : Neil M. Borden |
| Publisher | : Cambridge University Press |
| Total Pages | : 355 |
| Release | : 2011-09-08 |
| Genre | : Medical |
| ISBN | : 1139502247 |
Download Pattern Recognition Neuroradiology Book in PDF, ePub and Kindle
Faced with a single neuroradiological image of an unknown patient, how confident would you be to make a differential diagnosis? Despite advanced imaging techniques, a confident diagnosis also requires knowledge of the patient's age, clinical data and the lesion location. Pattern Recognition Neuroradiology provides the tools you will need to arrive at the correct diagnosis or a reasonable differential diagnosis. This user-friendly book includes basic information often omitted from other texts: a practical method of image analysis, sample dictation templates and didactic information regarding lesions/diseases in a concise outline form. Image galleries show more than 700 high quality representative examples of the diseases discussed. Whether you are a trainee encountering some of these conditions for the first time or a resident trying to develop a reliable system of image analysis, Pattern Recognition Neuroradiology is an invaluable diagnostic resource.
| Author | : L Koteswara Rao |
| Publisher | : CRC Press |
| Total Pages | : 203 |
| Release | : 2022-02-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1000460959 |
Download Image Pattern Recognition Book in PDF, ePub and Kindle
This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions.
| Author | : K.C. Santosh |
| Publisher | : CRC Press |
| Total Pages | : 251 |
| Release | : 2019-08-20 |
| Genre | : Computers |
| ISBN | : 0429642490 |
Download Medical Imaging Book in PDF, ePub and Kindle
Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. 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.
| Author | : Pradipta Maji |
| Publisher | : John Wiley & Sons |
| Total Pages | : 312 |
| Release | : 2012-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 111800440X |
Download Rough-Fuzzy Pattern Recognition Book in PDF, ePub and Kindle
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
| Author | : Xiao-Xia Yin |
| Publisher | : Springer |
| Total Pages | : 218 |
| Release | : 2017-06-27 |
| Genre | : Computers |
| ISBN | : 3319570277 |
Download Pattern Classification of Medical Images: Computer Aided Diagnosis Book in PDF, ePub and Kindle
This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes. An important feature of this book is the exploration of different approaches to handle and identify time dependent biomedical images. Biomedical imaging analysis and processing techniques deal with the interaction between all forms of radiation and biological molecules, cells or tissues, to visualize small particles and opaque objects, and to achieve the recognition of biomedical patterns. These are topics of great importance to biomedical science, biology, and medicine. Biomedical imaging analysis techniques can be applied in many different areas to solve existing problems. The various requirements arising from the process of resolving practical problems motivate and expedite the development of biomedical imaging analysis. This is a major reason for the fast growth of the discipline.
| Author | : Andreas Maier |
| Publisher | : Springer |
| Total Pages | : 263 |
| Release | : 2018-08-02 |
| Genre | : Computers |
| ISBN | : 3319965204 |
Download Medical Imaging Systems Book in PDF, ePub and Kindle
This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.
| Author | : Bjoern Menze |
| Publisher | : Springer |
| Total Pages | : 235 |
| Release | : 2011-02-02 |
| Genre | : Computers |
| ISBN | : 3642184219 |
Download Medical Computer Vision Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.
