Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
Author: Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Publsiher: Academic Press
Total Pages: 308
Release: 2020-08-11
ISBN: 0128192968
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Machine Vision Paradigms for Medical Image Analysis Book Excerpt:

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Medical Imaging and Health Informatics

Medical Imaging and Health Informatics
Author: Tushar H. Jaware,K. Sarat Kumar,Ravindra D. Badgujar,Svetlin Antonov
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2022-05-26
ISBN: 1119819148
Category: Computers
Language: EN, FR, DE, ES & NL

Medical Imaging and Health Informatics Book Excerpt:

MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum. Audience The core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.

Computer Vision and Machine Intelligence in Medical Image Analysis

Computer Vision and Machine Intelligence in Medical Image Analysis
Author: Mousumi Gupta,Debanjan Konar,Siddhartha Bhattacharyya,Sambhunath Biswas
Publsiher: Springer Nature
Total Pages: 150
Release: 2019-08-28
ISBN: 9811387982
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computer Vision and Machine Intelligence in Medical Image Analysis Book Excerpt:

This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

Advanced Computational Paradigms and Hybrid Intelligent Computing

Advanced Computational Paradigms and Hybrid Intelligent Computing
Author: Tapan Kumar Gandhi
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 9811643695
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Advanced Computational Paradigms and Hybrid Intelligent Computing Book Excerpt:

Computer Vision in Advanced Control Systems 5

Computer Vision in Advanced Control Systems 5
Author: Margarita N. Favorskaya,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 321
Release: 2019-12-07
ISBN: 3030337952
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computer Vision in Advanced Control Systems 5 Book Excerpt:

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Advanced Computational Intelligence Paradigms in Healthcare 3

Advanced Computational Intelligence Paradigms in Healthcare   3
Author: Margarita Sordo,Sachin Vaidya
Publsiher: Springer
Total Pages: 257
Release: 2008-08-20
ISBN: 3540776621
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Computational Intelligence Paradigms in Healthcare 3 Book Excerpt:

This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems. These include intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.

Machine Learning Paradigms

Machine Learning Paradigms
Author: George A. Tsihrintzis,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 430
Release: 2020-07-23
ISBN: 3030497240
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning Paradigms Book Excerpt:

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Computational Intelligence Paradigms in Advanced Pattern Classification

Computational Intelligence Paradigms in Advanced Pattern Classification
Author: Marek R. Ogiela,Lakhmi C. Jain
Publsiher: Springer Science & Business Media
Total Pages: 200
Release: 2012-01-13
ISBN: 3642240488
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence Paradigms in Advanced Pattern Classification Book Excerpt:

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Advanced Computational Intelligence Paradigms in Healthcare 2

Advanced Computational Intelligence Paradigms in Healthcare   2
Author: S. Vaidya,Hiroyuki Yoshida
Publsiher: Springer
Total Pages: 150
Release: 2007-06-07
ISBN: 3540723757
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Computational Intelligence Paradigms in Healthcare 2 Book Excerpt:

This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; case-based reasoning in medicine; assessing the quality of care in AI environment; electronic medical record to examine physician decisions; multi-agent systems for the management of community healthcare; assistive wheelchair navigation; and more.

Natural User Interfaces in Medical Image Analysis

Natural User Interfaces in Medical Image Analysis
Author: Marek R. Ogiela,Tomasz Hachaj
Publsiher: Springer
Total Pages: 288
Release: 2014-06-07
ISBN: 3319078003
Category: Computers
Language: EN, FR, DE, ES & NL

Natural User Interfaces in Medical Image Analysis Book Excerpt:

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery; discusses techniques for creating 3D visualisations of large datasets; reviews natural user interfaces in medical imaging systems, including GDL technology.

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms
Author: Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Publsiher: IGI Global
Total Pages: 296
Release: 2022-03-11
ISBN: 1799883523
Category: Computers
Language: EN, FR, DE, ES & NL

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Book Excerpt:

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Springer Nature
Total Pages: 648
Release: 2020-12-14
ISBN: 303059338X
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges Book Excerpt:

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Advances in Biomedical Infrastructure 2013

Advances in Biomedical Infrastructure 2013
Author: Amandeep S. Sidhu,Sarinder K. Dhillon
Publsiher: Springer
Total Pages: 139
Release: 2013-03-01
ISBN: 364237137X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Biomedical Infrastructure 2013 Book Excerpt:

Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.

Advances in Reasoning Based Image Processing Intelligent Systems

Advances in Reasoning Based Image Processing Intelligent Systems
Author: Roumen Kountchev,Kazumi Nakamatsu
Publsiher: Springer Science & Business Media
Total Pages: 456
Release: 2012-01-13
ISBN: 3642246931
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Reasoning Based Image Processing Intelligent Systems Book Excerpt:

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Advanced Computational and Communication Paradigms

Advanced Computational and Communication Paradigms
Author: Siddhartha Bhattacharyya,Tapan Gandhi,Kalpana Sharma,Paramartha Dutta
Publsiher: Springer
Total Pages: 592
Release: 2018-06-07
ISBN: 9811082405
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Computational and Communication Paradigms Book Excerpt:

The book titled Advanced Computational and Communication Paradigms: Proceedings of International Conference on ICACCP 2017, Volume 1 presents refereed high-quality papers of the First International Conference on Advanced Computational and Communication Paradigms (ICACCP 2017) organized by the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, held from 8– 10 September 2017. ICACCP 2017 covers an advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals and research scholars from regional, national and international levels are invited to present their original unpublished work in this conference. There were about 550 technical paper submitted. Finally after peer review, 142 high-quality papers have been accepted and registered for oral presentation which held across 09 general sessions and 05 special sessions along with 04 keynote address and 06 invited talks. This volume comprises 65 accepted papers of ICACCP 2017.

Advanced Computational Intelligence in Healthcare 7

Advanced Computational Intelligence in Healthcare 7
Author: Ilias Maglogiannis,Sheryl Brahnam,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 161
Release: 2020-03-23
ISBN: 3662611147
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Computational Intelligence in Healthcare 7 Book Excerpt:

This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligent paradigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas, are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical and administrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.

Smart Computing Paradigms New Progresses and Challenges

Smart Computing Paradigms  New Progresses and Challenges
Author: Atilla Elçi,Pankaj Kumar Sa,Chirag N. Modi,Gustavo Olague,Manmath N. Sahoo,Sambit Bakshi
Publsiher: Springer Nature
Total Pages: 302
Release: 2019-11-30
ISBN: 9811396833
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Smart Computing Paradigms New Progresses and Challenges Book Excerpt:

This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. It brings together contributions from scientists, professors, scholars and students, and presents essential information on computing, networking, and informatics. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research, and of applied research into practice. The works presented here will also demonstrate the importance of basic scientific research in a range of fields.

Interpretable and Annotation Efficient Learning for Medical Image Computing

Interpretable and Annotation Efficient Learning for Medical Image Computing
Author: Jaime Cardoso,Hien Van Nguyen,Nicholas Heller,Pedro Henriques Abreu,Ivana Isgum,Wilson Silva,Ricardo Cruz,Jose Pereira Amorim,Vishal Patel,Badri Roysam,Kevin Zhou,Steve Jiang,Ngan Le,Khoa Luu,Raphael Sznitman,Veronika Cheplygina,Diana Mateus,Emanuele Trucco,Samaneh Abbasi
Publsiher: Springer Nature
Total Pages: 292
Release: 2020-10-03
ISBN: 3030611663
Category: Computers
Language: EN, FR, DE, ES & NL

Interpretable and Annotation Efficient Learning for Medical Image Computing Book Excerpt:

This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.

Computer Vision in Medical Imaging

Computer Vision in Medical Imaging
Author: Chi-hau Chen
Publsiher: World Scientific
Total Pages: 412
Release: 2014
ISBN: 981446094X
Category: Medical
Language: EN, FR, DE, ES & NL

Computer Vision in Medical Imaging Book Excerpt:

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Advanced Algorithmic Approaches to Medical Image Segmentation

Advanced Algorithmic Approaches to Medical Image Segmentation
Author: S. Kamaledin Setarehdan,Sameer Singh
Publsiher: Springer Science & Business Media
Total Pages: 636
Release: 2001-12-11
ISBN: 9781852333898
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Algorithmic Approaches to Medical Image Segmentation Book Excerpt:

Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.