الصفحة 4
الصفحة 4
Methods of microarray data analysis IV
As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. METHODS OF MICROARRAY DATA ANALYSIS IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III). In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art of microarray data analysis.
Methods of Cancer Diagnosis, Therapy and Prognosis : Breast Carcinoma
Focusing on Breast Carcinoma, this first volume in the series Methods of Cancer Diagnosis, Therapy and Prognosis brings together 56 leading scientists from around the world to deliver a comprehensive treatise on all aspects of breast cancer, including diagnosis, treatments and prognosis.
Metabolome Analyses : Strategies for Systems Biology
Metabolome Analyses is intended as a follow-up to Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis (Kluwer, 2003). That text offered guidelines to currently available technology, bioinformatics and databases. Evidence was presented showing metabolic profiling as a valuable addition to genomics and proteomics strategies devoted to drug discovery and development. This book focuses on how metabolic profiling is being more comprehensively integrated with the other "omics" technologies. It provides more practical applications of such "panomics" or "Systems Biology" approaches. The expanding use of mass spectrometry as a measurement technology in metabolic profiling is addressed through demonstrated applications. The integration of metabolic profiling and proteomics is probably most developed for plant-based studies, which was not addressed in Volume 1. Other areas related to metabolic profiling continue to show significant development. These include database strategies and an increased acceptance by the pharmaceutical industry of metabolic profiling. Also covered is the use of in silico metabolic networks. Again the focus is primarily on the pharmaceutical industry but the importance of metabolic profiling to studies on human nutrition (a burgeoning area) is discussed.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I
The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007; 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II
The 10th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI2007, washeldattheBrisbaneConventionandExhibition Centre, South Bank, Brisbane, Australia from 29th October to 2nd November 2007. MICCAI has become a premier international conference in this domain, with in-depth papers on the multidisciplinary ?elds of biomedical image computing, computer assisted intervention and medical robotics.
Medical image computing and computer-assisted intervention – MICCAI 2007 ; 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I
This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ; Vol. 4191; 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part II
T MICCAI papers are of high standard and have a long lifetime. In this v- ume as well as in the latest journal issues of Medical Image Analysis and IEEE Transactions on Medical Imaging papers cite previous MICCAIs including the ?rst MICCAI conference in Cambridge, Massachusetts, 1998. It is obvious that the community requires the MICCAI papers as archive material. Therefore the proceedingsofMICCAIarefrom2005andhenceforthbeing indexedbyMedline. Acarefulreviewandselectionprocesswasexecutedinordertosecurethebest possible program for the MICCAI 2006 conference. We received 578 scienti?c papers from which 39 papers were selected for the oral program and 193 papers for the poster program.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ; Vol. 4190 ; 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I
MICCAI papers are of high standard and have a long lifetime. In this v- ume as well as in the latest journal issues of Medical Image Analysis and IEEE Transactions on Medical Imaging papers cite previous MICCAIs including the ?rst MICCAI conference in Cambridge, Massachusetts, 1998. It is obvious that the community requires the MICCAI papers as archive material. Therefore the proceedingsofMICCAIarefrom2005andhenceforthbeing indexedbyMedline. Acarefulreviewandselectionprocesswasexecutedinordertosecurethebest possible program for the MICCAI 2006 conference. We received 578 scienti?c papers from which 39 papers were selected for the oral program and 193 papers for the poster program.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 ; 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I
This paper presents a method for classification of medical images, using machine learning and deformation-based morphometry. A morphological representation of the anatomy of interest is first obtained using highdimensional template warping, from which regions that display strong correlations between morphological measurements and the classification (clinical) variable are extracted using a watershed segmentation, taking into account the regional smoothness of the correlation map which is estimated by a crossvalidation strategy in order to achieve robustness to outliers. A Support Vector Machine-Recursive Feature Elimination (SVM-RFE) technique is then used to rank computed features from the extracted regions, according to their effect on the leave-one-out error bound. Finally, SVM classification is applied using the best set of features, and it is tested using leave-one-out. The results from a group of 61 brain images of female normal controls and schizophrenia patients demonstrate not only high classification accuracy (91.8%) and steep ROC curves, but also exceptional stability with respect to the number of selected features and the SVM kernel size
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
Medical Biometrics ; 1st International Conference, ICMB 2008, Hong Kong, China, January 4-5, 2008, Proceedings
Medical biometrics primarily refers to the usage of beh- ioral and physiological characteristics of humans for medical diagnosis and body care. Thus the goal of medical biometrics is to explore solutions to the open problems in medicine using biometric measurements, technologies and systems.
Mathematics of Uncertainty : Ideas, Methods, Application Problems
Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to wavelets, from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation, as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships.
Introduction to Lie Algebras
This book provides an elementary introduction to Lie algebras. It starts with basic concepts. A section on low-dimensional Lie algebras provides readers with experience of some useful examples. This is followed by a discussion of solvable Lie algebras and a strategy towards a classification of finite-dimensional complex Lie algebras. The next chapters cover Engel's theorem, Lie's theorem and Cartan's criteria and introduce some representation theory. The root-space decomposition of a semisimple Lie algebra is discussed, and the classical Lie algebras studied in detail. The authors also classify root systems, and give an outline of Serre's construction of complex semisimple Lie algebras. An overview of further directions then concludes the book and shows the high degree to which Lie algebras influence present-day mathematics.The only prerequisite is some linear algebra and an appendix summarizes the main facts that are needed. The treatment is kept as simple as possible with no attempt at full generality.
Introduction to information retrieval
Teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science.
International Classification of HRCT for Occupational and Environmental Respiratory Diseases
Many international experts collaborated in creating this groundbreaking work, a principal-coding system, and in developing reference films and imaging parameters for the International Classification of HRCT for Occupational and Environmental Respiratory Diseases. The book is an authoritative guide to the recognition of dust diseases of the lung, using radiological imaging techniques, with special emphasis on high-resolution computerized tomography (CT). The classification is a powerful, essential tool for recording patient data on CT in a globally standardized semiquantitative way. The system is also applicable to surveillance and screening for occupational and environmental respiratory diseases. The book is a valuable resource not only for radiologists but for all who work in occupational medicine and public health.
Interest Rate Models - Theory and Practice : With Smile, Inflation and Credit
The fast-growing interest for hybrid products has led to new chapters. A special focus here is devoted to the pricing of inflation-linked derivatives. The three final new chapters are devoted to credit. Since Credit Derivatives are increasingly fundamental, and since in the reduced-form modeling framework much of the technique involved is analogous to interest-rate modeling, Credit Derivatives -- mostly Credit Default Swaps (CDS), CDS Options and Constant Maturity CDS - are discussed, building on the basic short rate-models and market models introduced earlier for the default-free market. Counterparty risk in interest rate payoff valuation is also considered, motivated by the recent Basel II framework developments.
Interdisciplinary Aspects of Information Systems Studies ; The Italian Association for Information Systems
Chapters of this book offer a careful selection of the best contributions to the Italian Association for Information Systems (ItAIS) Annual Conference, that took place in Venice, San Servolo Island, in October 2007. The main goal of this book is to disseminate academic knowledge, both theoretical and pragmatic, in the information systems community. Recognizing the relevance of many different disciplines, the book takes an interdisciplinary approach to the subject of information systems, thus providing a comprehensive and current coverage of this important area.
Interactive Video : Algorithms and Technologies
This is a groundbreaking resource that covers both algorithms and technologies of interactive videos, so that businesses in IT and data managements, scientists, teachers, and software engineers in video processing and computer vision, coaches and instructors that use video technology in teaching, and finally end-users of hyper videos will greatly benefit from it. This comprehensive four part book contains excellent scientific and up-to-date contributions made by a number of pioneering scientists, futurists and experts in the field.
Interactive and dynamic graphics for data analysis : With R and Ggobi
This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The role of graphical methods is shown at each step of the analysis, not only in the early exploratory phase, but in the later stages, too, when comparing and evaluating models.
