Pattern Recognition Neuroradiology
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Pattern Recognition Neuroradiology
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Author : Neil M. Borden
language : en
Publisher: Cambridge University Press
Release Date : 2011-09-08
Pattern Recognition Neuroradiology written by Neil M. Borden and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-08 with Medical categories.
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.
Pattern Recognition Neuroradiology
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Author : Neil M. Borden
language : en
Publisher:
Release Date : 2014-05-14
Pattern Recognition Neuroradiology written by Neil M. Borden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with HEALTH & FITNESS categories.
"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"--Provided by publisher.
Pattern Recognition And Signal Analysis In Medical Imaging
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Author : Anke Meyer-Bäse
language : en
Publisher: Academic Press
Release Date : 2004
Pattern Recognition And Signal Analysis In Medical Imaging written by Anke Meyer-Bäse and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Essential tool for students and professionals that compiles and explains proven and cutting-edge methods in pattern recognition for medical imaging.
Pattern Recognition In Diagnostic Imaging
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Author : World Health Organization
language : en
Publisher:
Release Date : 2001-07
Pattern Recognition In Diagnostic Imaging written by World Health Organization and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07 with categories.
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.
Pattern Recognition And Signal Analysis In Medical Imaging
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Author : Anke Meyer-Baese
language : en
Publisher: Elsevier
Release Date : 2014-03-21
Pattern Recognition And Signal Analysis In Medical Imaging written by Anke Meyer-Baese and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-21 with Technology & Engineering categories.
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
Brain Imaging With Mri And Ct
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Author : Zoran Rumboldt
language : en
Publisher: Cambridge University Press
Release Date : 2012-11-08
Brain Imaging With Mri And Ct written by Zoran Rumboldt and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-08 with Medical categories.
A unique, clinically relevant approach, grouping images according to basic patterns, irrespective of underlying etiology, to accentuate differential diagnostic features.
Deep Learning And Convolutional Neural Networks For Medical Imaging And Clinical Informatics
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Author : Le Lu
language : en
Publisher: Springer
Release Date : 2019-10-01
Deep Learning And Convolutional Neural Networks For Medical Imaging And Clinical Informatics written by Le Lu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Computers categories.
This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory. The book’s chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval. The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.
Neuroradiology Signs
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Author : Mai-Lan Ho
language : en
Publisher: McGraw Hill Professional
Release Date : 2014-04-22
Neuroradiology Signs written by Mai-Lan Ho and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-22 with Medical categories.
A COMPREHENSIVE, FULL-COLOR GUIDE TO NEURORADIOLOGY SIGNS ACROSS ALL IMAGING MODALITIES The first book of its kind, Neuroradiology Signs provides a multimodality review of more than 440 neuroradiologic signs in CT, MR, angiography, radiography, ultrasound, and nuclear medicine. It is designed to enhance your recognition of specific imaging patterns, enabling you to arrive at an accurate diagnosis. Neuroradiology Signs consists of 7 chapters: Adult and General Brain Pediatric Brain Head, Neck, and Orbits Vascular Skull and Facial Bones Vertebrae Spinal Cord and Nerves All cases have been reviewed by subspecialty experts and include: Imaging Findings Modalities Differential Diagnosis Discussion References Full-color photographs illustrate sign etymology and enhance your learning experience. The index is conveniently organized by sign, diagnosis, and modality. Neuroradiology Signs is a valuable review for trainees preparing for board examinations and a trusted daily reference for practicing clinicians.
Brain And Spine Imaging Patterns
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Author : Chi-Shing Zee
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-03-05
Brain And Spine Imaging Patterns written by Chi-Shing Zee and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-05 with Medical categories.
Market: Radiologists; Radiology Residents, Neurosurgeons, Neurologists, Spine Surgeons Includes 2,000 multi-modality images Includes more than 300 cases
Rough Fuzzy Pattern Recognition
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Author : Pradipta Maji
language : en
Publisher: John Wiley & Sons
Release Date : 2012-02-14
Rough Fuzzy Pattern Recognition written by Pradipta Maji and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-14 with Technology & Engineering categories.
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.