Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2019-07-31
  • Genre: Science
  • Pages : 218
  • ISBN 10 : 9780128180051

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Excerpt :

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

Medical Image Analysis and Informatics Book

Medical Image Analysis and Informatics


  • Author : Paulo Mazzoncini de Azevedo-Marques
  • Publisher : CRC Press
  • Release Date : 2017-11-23
  • Genre: Technology & Engineering
  • Pages : 518
  • ISBN 10 : 9781498753203

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Medical Image Analysis and Informatics Excerpt :

With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Deep Learning in Medical Image Analysis Book

Deep Learning in Medical Image Analysis


  • Author : Gobert Lee
  • Publisher : Springer Nature
  • Release Date : 2020-02-06
  • Genre: Medical
  • Pages : 181
  • ISBN 10 : 9783030331283

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Deep Learning in Medical Image Analysis Excerpt :

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Pattern Classification of Medical Images  Computer Aided Diagnosis Book

Pattern Classification of Medical Images Computer Aided Diagnosis


  • Author : Xiao-Xia Yin
  • Publisher : Springer
  • Release Date : 2017-06-27
  • Genre: Computers
  • Pages : 218
  • ISBN 10 : 9783319570273

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Pattern Classification of Medical Images Computer Aided Diagnosis Excerpt :

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.

Machine Learning in Computer Aided Diagnosis  Medical Imaging Intelligence and Analysis Book

Machine Learning in Computer Aided Diagnosis Medical Imaging Intelligence and Analysis


  • Author : Suzuki, Kenji
  • Publisher : IGI Global
  • Release Date : 2012-01-31
  • Genre: Computers
  • Pages : 524
  • ISBN 10 : 9781466600607

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Machine Learning in Computer Aided Diagnosis Medical Imaging Intelligence and Analysis Excerpt :

"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.

Pattern Recognition and Signal Analysis in Medical Imaging Book

Pattern Recognition and Signal Analysis in Medical Imaging


  • Author : Anke Meyer-Baese
  • Publisher : Elsevier
  • Release Date : 2014-03-21
  • Genre: Technology & Engineering
  • Pages : 466
  • ISBN 10 : 9780124166158

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Pattern Recognition and Signal Analysis in Medical Imaging Excerpt :

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

Medical Image Analysis and Informatics Book

Medical Image Analysis and Informatics


  • Author : Paulo Mazzoncini de Azevedo-Marques
  • Publisher : CRC Press
  • Release Date : 2018-03-05
  • Genre: Technology & Engineering
  • Pages : 518
  • ISBN 10 : 9781351230827

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Medical Image Analysis and Informatics Excerpt :

With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data Book

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data


  • Author : Akash Kumar Bhoi
  • Publisher : Academic Press
  • Release Date : 2022-01-28
  • Genre: Computers
  • Pages : 294
  • ISBN 10 : 9780323903486

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Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data Excerpt :

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. Focuses on data-centric operations in the Healthcare industry Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models Addresses real-time challenges and case studies in the Healthcare industry

Intelligent Vision in Healthcare Book

Intelligent Vision in Healthcare


  • Author : Mukesh Saraswat
  • Publisher : Springer Nature
  • Release Date : 2022-01-29
  • Genre: Technology & Engineering
  • Pages : 151
  • ISBN 10 : 9789811677717

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Intelligent Vision in Healthcare Excerpt :

This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.

Machine Learning and IoT for Intelligent Systems and Smart Applications Book

Machine Learning and IoT for Intelligent Systems and Smart Applications


  • Author : Madhumathy P
  • Publisher : CRC Press
  • Release Date : 2021-11-17
  • Genre: Computers
  • Pages : 242
  • ISBN 10 : 9781000484960

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Machine Learning and IoT for Intelligent Systems and Smart Applications Excerpt :

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

Deep Learning for Medical Image Analysis Book

Deep Learning for Medical Image Analysis


  • Author : S. Kevin Zhou
  • Publisher : Academic Press
  • Release Date : 2017-01-18
  • Genre: Computers
  • Pages : 458
  • ISBN 10 : 9780128104095

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Deep Learning for Medical Image Analysis Excerpt :

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Advances in Computational Techniques for Biomedical Image Analysis Book

Advances in Computational Techniques for Biomedical Image Analysis


  • Author : Deepika Koundal
  • Publisher : Academic Press
  • Release Date : 2020-05-28
  • Genre: Computers
  • Pages : 322
  • ISBN 10 : 9780128204115

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Advances in Computational Techniques for Biomedical Image Analysis Excerpt :

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics

Soft Computing Based Medical Image Analysis Book
Score: 5
From 1 Ratings

Soft Computing Based Medical Image Analysis


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2018-01-18
  • Genre: Technology & Engineering
  • Pages : 292
  • ISBN 10 : 9780128131749

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Soft Computing Based Medical Image Analysis Excerpt :

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Computer Aided Diagnosis   Medical Image Analysis Techniques Book

Computer Aided Diagnosis Medical Image Analysis Techniques


  • Author : Bhagirathi Halalli
  • Publisher : Unknown
  • Release Date : 2018
  • Genre: Health
  • Pages : null
  • ISBN 10 : OCLC:1154269318

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Computer Aided Diagnosis Medical Image Analysis Techniques Excerpt :

Breast cancer is the second leading cause of death among women worldwide. Mammography is the basic tool available for screening to find the abnormality at the earliest. It is shown to be effective in reducing mortality rates caused by breast cancer. Mammograms produced by low radiation X-ray are difficult to interpret, especially in screening context. The sensitivity of screening depends on image quality and unclear evidence available in the image. The radiologists find it difficult to interpret the digital mammography; hence, computer-aided diagnosis (CAD) technology helps to improve the performance of radiologists by increasing sensitivity rate in a cost-effective way. Current research is focused toward the designing and development of medical imaging and analysis system by using digital image processing tools and the techniques of artificial intelligence, which can detect the abnormality features, classify them, and provide visual proofs to the radiologists. The computer-based techniques are more suitable for detection of mass in mammography, feature extraction, and classification. The proposed CAD system addresses the several steps such as preprocessing, segmentation, feature extraction, and classification. Though commercial CAD systems are available, identification of subtle signs for breast cancer detection and classification remains difficult. The proposed system presents some advanced techniques in medical imaging to overcome these difficulties.

Breast Imaging Book

Breast Imaging


  • Author : Cherie M. Kuzmiak
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-01-17
  • Genre: Health & Fitness
  • Pages : 142
  • ISBN 10 : 9789535137320

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Breast Imaging Excerpt :

Early detection of breast cancer with screening mammography is still the best method we have in saving countless women's lives and decreasing the harms of overtreatment. This textbook encompasses relevant topics in daily patient care with breast imaging to technical innovations for improving breast cancer detection and treatment.