Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Design And Analysis Of A Content Based Pathology Image Retrieval System full books in PDF, epub, and Kindle. Read online Design And Analysis Of A Content Based Pathology Image Retrieval System ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Lei Zheng
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (524 download)
Download or read book Design and Analysis of a Content-based Pathology Image Retrieval System written by Lei Zheng and published by . This book was released on 2002 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hernández Mesa, Pilar
Publisher : KIT Scientific Publishing
ISBN 13 : 3731506920
Total Pages : 268 pages
Book Rating : 4.7/5 (315 download)
Download or read book Design and analysis of a content-based image retrieval system written by Hernández Mesa, Pilar and published by KIT Scientific Publishing. This book was released on 2017-10-18 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated.
Author : Pilar Hernández Mesa
Publisher :
ISBN 13 : 9781013281389
Total Pages : 260 pages
Book Rating : 4.2/5 (813 download)
Download or read book Design and Analysis of a Content-based Image Retrieval System written by Pilar Hernández Mesa and published by . This book was released on 2020-10-09 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Author : Oge Marques
Publisher : Springer Science & Business Media
ISBN 13 : 1461509874
Total Pages : 189 pages
Book Rating : 4.4/5 (615 download)
Download or read book Content-Based Image and Video Retrieval written by Oge Marques and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.
Author : Robert Burduk
Publisher : Springer
ISBN 13 : 3319262270
Total Pages : 827 pages
Book Rating : 4.3/5 (192 download)
Download or read book Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015 written by Robert Burduk and published by Springer. This book was released on 2016-03-05 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 79 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Features, learning, and classifiers Biometrics Data Stream Classification and Big Data Analytics Image processing and computer vision Medical applications Applications RGB-D perception: recent developments and applications This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.
Author : Henning Mueller
Publisher : Springer Science & Business Media
ISBN 13 : 3642284590
Total Pages : 161 pages
Book Rating : 4.6/5 (422 download)
Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer Science & Business Media. This book was released on 2012-03 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.
Author : Neville Mehta
Publisher :
ISBN 13 :
Total Pages : 31 pages
Book Rating : 4.:/5 (642 download)
Download or read book CONTENT BASED SUBIMAGE RETRIEVAL IN PATHOLOGY IMAGES written by Neville Mehta and published by . This book was released on 2009 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based image retrieval systems for digital pathology require sub-image retrieval rather than the whole image retrieval for the system to be of clinical use. Digital pathology has been attracting many researchers due to their high space and computational requirements. Content-based sub-image retrieval systems for pathology images have wide applicability in computer aided diagnosis by allowing the pathologist to retrieve similar cases to a new case along with the diagnosis information. These images are huge in size and thus the pathologist is interested in retrieving specific structures from the whole images in the database along with the previous diagnosis of the retrieved sub-image. We propose a content-based sub-image retrieval system (sCBIR) framework for high resolution digital pathology images. We utilize scale-invariant feature extraction (SIFT) and present an efficient and robust searching mechanism for indexing the images as well as for query execution of sub-image retrieval. We show results of testing our system on a set of queries for specific structures of interest for pathologists in clinical use. The outcomes of the sCBIR system are compared to manual search and there is an 80% match in the top five searches. However, in dealing with high resolution images, localized indexing and retrieval strategies are time consuming and computationally expensive. We introduce a distributed element in content-based sub-image retrieval system architecture for indexing and retrieving high resolution pathology images. This helps distribute the task over various sites and avoids the computational overloading of a centralized strategy. We describe the full architecture including indexing and retrieval algorithms of our system. We validate our system using a database of 50 high resolution pathology images and apply our indexing and retrieval algorithms.
Author : Stanley Cohen
Publisher : IOS Press
ISBN 13 : 1614992339
Total Pages : 356 pages
Book Rating : 4.6/5 (149 download)
Download or read book Biophotonics in Pathology written by Stanley Cohen and published by IOS Press. This book was released on 2013 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photonics is a term often used in relation to light-based circuits, but it is actually more inclusive, including the generation, emission, transmission, modulation and signal processing of light. Biophotonics is therefore a term which can be used to describe the development and application of optical techniques for the study of biological molecules, cells and tissues.This book presents some of the most promising new image-based and related technologies which have evolved in the last few years for the study, visualization, characterisation and analysis of abnormal cells and tissues, and discusses their current and potential applications in experimental pathology and clinical pathological diagnosis. The book contains more than a dozen papers contributed by experts in the field, and the technology is described in a manner accessible to an audience of pathologists, cell biologists and biochemists as well as biomedical engineers.Subjects covered include: advanced methods in fluorescence microscopy, automated image interpretation and computer-assisted diagnostics, magnetic resonance microscopy, impedence measurements in the biomedical sciences and raman scattering in pathology, among others.There is an increasing convergence of radiology and pathology, and although this book has been written from the perspective of pathology, it demonstrates a confluence of methodologies similar to those applied in radiology with morphological analysis at the cellular and tissue level, and will also be of interest to radiologists, as well as to other scientists and engineers working in overlapping areas.
Author : Rangaraj M. Rangayyan
Publisher : CRC Press
ISBN 13 : 0203492544
Total Pages : 1312 pages
Book Rating : 4.2/5 (34 download)
Download or read book Biomedical Image Analysis written by Rangaraj M. Rangayyan and published by CRC Press. This book was released on 2004-12-30 with total page 1312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr
Author : James Z. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1461516412
Total Pages : 187 pages
Book Rating : 4.4/5 (615 download)
Download or read book Integrated Region-Based Image Retrieval written by James Z. Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.
Author : Le Lu
Publisher : Springer Nature
ISBN 13 : 3030139697
Total Pages : 461 pages
Book Rating : 4.0/5 (31 download)
Download or read book Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics written by Le Lu and published by Springer Nature. This book was released on 2019-09-19 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Robert W. Ogilvie
Publisher : CRC Press
ISBN 13 : 142003930X
Total Pages : 376 pages
Book Rating : 4.4/5 (2 download)
Download or read book Virtual Microscopy and Virtual Slides in Teaching, Diagnosis, and Research written by Robert W. Ogilvie and published by CRC Press. This book was released on 2005-06-22 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite a brief history, the technologies of virtual microscopy and virtual slides have captured the imagination of many, especially this current crop of students. Having come of age in the computer and Internet age, this emerging group of technicians and researchers tends to display a distinct preference for virtual slides and virtual microscopes.
Author : David Dagan Feng
Publisher : Academic Press
ISBN 13 : 0128160357
Total Pages : 820 pages
Book Rating : 4.1/5 (281 download)
Download or read book Biomedical Information Technology written by David Dagan Feng and published by Academic Press. This book was released on 2019-10-22 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy and biomedical knowledge discovery, including the latest advances in the field, such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication and large-scale biological computing. Presents the world's most recognized authorities who give their "best practices" Provides professionals with the most up-to-date and mission critical tools to evaluate the latest advances in the field Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications
Author : Terence Critchlow
Publisher : CRC Press
ISBN 13 : 100075569X
Total Pages : 449 pages
Book Rating : 4.0/5 (7 download)
Download or read book Data-Intensive Science written by Terence Critchlow and published by CRC Press. This book was released on 2016-04-19 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world's most challenging problems. In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations. Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.
Author : Guorong Wu
Publisher : Academic Press
ISBN 13 : 0128041145
Total Pages : 514 pages
Book Rating : 4.1/5 (28 download)
Download or read book Machine Learning and Medical Imaging written by Guorong Wu and published by Academic Press. This book was released on 2016-08-11 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques
Author : Petra Perner
Publisher : Springer Science & Business Media
ISBN 13 : 3540731784
Total Pages : 442 pages
Book Rating : 4.5/5 (47 download)
Download or read book Case-Based Reasoning on Images and Signals written by Petra Perner and published by Springer Science & Business Media. This book was released on 2008 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the ?rst edited book that deals with the special topic of signals and images within case-based reasoning (CBR). Signal-interpreting systems are becoming increasingly popular in medical, industrial, ecological, biotechnological and many other applications. Existing statisticalandknowledge-basedtechniqueslackrobustness,accuracy,and?- ibility. New strategies are needed that can adapt to changing environmental conditions, signal variation, user needs and process requirements. Introducing CBRstrategiesintosignal-interpretingsystemscansatisfytheserequirements. CBR can be used to control the signal-processing process in all phases of a signal-interpreting system to derive information of the highest possible qu- ity. Beyond this CBR o?ers di?erent learning capabilities, for all phases of a signal-interpretingsystem,thatsatisfydi?erentneedsduringthedevelopment process of a signal-interpreting system. In the outline of this book we summarize under the term “signal” signals of 1-dimensional, 2-dimensional or 3-dimensional nature. The unique data and the necessary computation techniques require ext- ordinary case representations, similarity measures and CBR strategies to be utilised. Signalinterpretation(1D,2D,or3Dsignalinterpretation)istheprocessof mapping the numerical representation of a signal into logical representations suitable for signal descriptions. A signal-interpreting system must be able to extract symbolic features from the raw data e.g., the image (e.g., irregular structure inside the nodule, area of calci?cation, and sharp margin). This is a complex process; the signal passes through several general processing steps before the ?nal symbolic description is obtained. The structure of the book is divided into a theoretical part and into an application-oriented part.
Author : Kenji Suzuki
Publisher : Springer Science & Business Media
ISBN 13 : 1461472458
Total Pages : 410 pages
Book Rating : 4.4/5 (614 download)
Download or read book Computational Intelligence in Biomedical Imaging written by Kenji Suzuki and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.
