Artificial Intelligence In Recognition And Classification Of Astrophysical And Medical Images PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Artificial Intelligence In Recognition And Classification Of Astrophysical And Medical Images PDF full book. Access full book title Artificial Intelligence In Recognition And Classification Of Astrophysical And Medical Images.
| Author | : Valentina Zharkova |
| Publisher | : Springer |
| Total Pages | : 388 |
| Release | : 2007-04-06 |
| Genre | : Technology & Engineering |
| ISBN | : 3540475184 |
Download Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images Book in PDF, ePub and Kindle
This book presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based methods for pattern recognition in medical and astrophysical images; advanced information processing using statistical methods; and feature recognition and classification using spectral method.
| Author | : Valentina Zharkova |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2007-03-07 |
| Genre | : Computers |
| ISBN | : 3540475117 |
Download Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images Book in PDF, ePub and Kindle
This book presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based methods for pattern recognition in medical and astrophysical images; advanced information processing using statistical methods; and feature recognition and classification using spectral method.
| Author | : K.C. Santosh |
| Publisher | : CRC Press |
| Total Pages | : 200 |
| Release | : 2019-08-20 |
| Genre | : Computers |
| ISBN | : 0429639325 |
Download Medical Imaging Book in PDF, ePub and Kindle
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 | : George A Tsihrintzis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 633 |
| Release | : 2008-06-18 |
| Genre | : Mathematics |
| ISBN | : 3540681264 |
Download New Directions in Intelligent Interactive Multimedia Book in PDF, ePub and Kindle
This book summarizes the works and new research results presented at the First International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2008), organized by the University of Piraeus and its Depa- ment of Informatics in conjunction with KES International (Piraeus, Greece, July 9–11, 2008). The aim of the symposium was to provide an internationally respected forum for scientific research into the technologies and applications of intelligent int- active multimedia systems and services. Besides the Preface, the book contains sixty four (64) chapters. The first four (4) chapters in the book are printed versions of the keynote addresses of the invited speakers of KES-IIMSS 2008. Besides the invited speaker chapters, the book contains fifteen (15) chapters on recent Advances in Multimedia Data Analysis, eleven (11) chapters on Reasoning Approaches, nine (9) chapters on Infrastructure of Intelligent Interactive Multimedia Systems and Services, fourteen (14) chapters on Multimedia Applications, and eleven (11) chapters on Quality of Interactive Multimedia Services.
| Author | : Petra Perner |
| Publisher | : Springer |
| Total Pages | : 192 |
| Release | : 2007-11-20 |
| Genre | : Computers |
| ISBN | : 3540763007 |
Download Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry, MDA 2007. The topics include techniques and developments of signal and image producing procedures, object matching and object tracking in microscopic and video microscopic images, image segmentation algorithms, parallelization of image analysis and semantic tagging of images from life science applications.
| Author | : Raymond Chiong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 470 |
| Release | : 2011-11-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3642234240 |
Download Variants of Evolutionary Algorithms for Real-World Applications Book in PDF, ePub and Kindle
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
| Author | : D-W Sun |
| Publisher | : Elsevier |
| Total Pages | : 524 |
| Release | : 2012-08-13 |
| Genre | : Technology & Engineering |
| ISBN | : 0857095773 |
Download Computer Vision Technology in the Food and Beverage Industries Book in PDF, ePub and Kindle
The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry.Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality.With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry
| Author | : Nilanjan Dey |
| Publisher | : Academic Press |
| Total Pages | : 218 |
| Release | : 2019-07-31 |
| Genre | : Science |
| ISBN | : 0128180056 |
Download Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book in PDF, ePub and Kindle
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design
| Author | : Richi Nayak |
| Publisher | : Springer |
| Total Pages | : 284 |
| Release | : 2008-09-08 |
| Genre | : Technology & Engineering |
| ISBN | : 354079140X |
Download Evolution of the Web in Artificial Intelligence Environments Book in PDF, ePub and Kindle
The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.
| Author | : Abraham Kandel |
| Publisher | : Springer |
| Total Pages | : 265 |
| Release | : 2007-04-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3540680209 |
Download Applied Graph Theory in Computer Vision and Pattern Recognition Book in PDF, ePub and Kindle
This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
