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Neutrosophic Set in Medical Image Analysis

Neutrosophic Set in Medical Image Analysis
A Book

by Yanhui Guo,Amira S. Ashour

  • Publisher : Academic Press
  • Release : 2019-08-08
  • Pages : 370
  • ISBN : 0128181494
  • Language : En, Es, Fr & De
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Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Applications of Neutrosophic Sets in Medical Image Denoising and Segmentation

Applications of Neutrosophic Sets in Medical Image Denoising and Segmentation

by DEEPIKA KOUNDAL ,SAVITA GUPTA,SUKHWINDER SINGH

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 19
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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In medical science, diagnosis and prognosis is one of the most difficult and challenging task because of restricted subjectivity of the experts and presence of fuzziness in medical images. In observing the severity of several diseases, different professional experts may result in wrong diagnosis. In order to perform diagnosis intuitively in the medical images, different image processing methods have been explored in terms of neutrosophic theory to interpret the inherent uncertainty, ambiguity and vagueness. This paper demonstrates the use of neutrosophic theory in medical image denoising and segmentation where the performance is observed to be much better.

The Encyclopedia of Neutrosophic Researchers, 3rd volume

The Encyclopedia of Neutrosophic Researchers, 3rd volume
A Book

by Florentin Smarandache

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 144
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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This is the third volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books.

A survey of the State-of-the-arts on Neutrosophic Sets in Biomedical Diagnoses

A survey of the State-of-the-arts on Neutrosophic Sets in Biomedical Diagnoses
A Book

by Nguyen Gia Nhu,Nilanjan Dey,Amira S. Ashour,Le Son

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 26
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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In real world applications, soft computing is an inspirational domain for encoding imprecision and uncertainty. Soft computing procedures integrated with medical applications can support the existing medical systems to allow solutions for unsolvable problems.

A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017

A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017
A Book

by Xindong Peng,Jingguo Dai

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 57
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Neutrosophic set, initiated by Smarandache, is a novel tool to deal with vagueness considering the truth-membership T, indeterminacy-membership I and falsity-membership F satisfying the condition 0 ≤ T + I + F ≤ 3. It can be used to characterize the uncertain information more sufficiently and accurately than intuitionistic fuzzy set. Neutrosophic set has attracted great attention of many scholars that have been extended to new types and these extensions have been used in many areas such as aggregation operators, decision making, image processing, information measures, graph and algebraic structures.

Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain

Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain
A Book

by Arulpandy P.,Trinita Pricilla M.

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 12
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Neutrosophy is a branch of philosophy introduced by Florentin Smarandache. Neutrosophic set (NS) is the derivative of neutrosophy; it is a powerful tool to handle uncertainty. Here we applied neutrosophic set to gray scale image domain for image analysis. Several authors contributed in neutrosophic image analysis and image processing.

Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets

Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets
Volume 2

by Florentin Smarandache,Xiaohong Zhang,Mumtaz Ali

  • Publisher : MDPI
  • Release : 2019-04-04
  • Pages : 450
  • ISBN : 3038974757
  • Language : En, Es, Fr & De
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A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications

A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications
A Book

by Haiping Ren,Shixiao Xiao,Hui Zhou

  • Publisher : Infinite Study
  • Release : 2021
  • Pages : 12
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The aim of this paper is to propose a new similarity measure of single valued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the proposed similarity in pattern recognition, medical diagnosis and multi-attribute decision making problems under single-valued neutrosophic environment.

Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis
Methods and Applications

by Deepika Koundal,Savita Gupta

  • Publisher : Academic Press
  • Release : 2020-05-28
  • Pages : 322
  • ISBN : 0128204117
  • Language : En, Es, Fr & De
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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

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019

by Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari

  • Publisher : Springer
  • Release : 2019-07-05
  • Pages : 1392
  • ISBN : 3030237567
  • Language : En, Es, Fr & De
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This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis
A Book

by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas

  • Publisher : Academic Press
  • Release : 2018-01-18
  • Pages : 292
  • ISBN : 0128131748
  • Language : En, Es, Fr & De
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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

Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets
A Book

by Florentin Smarandache,Mohamed Abdel-Basset

  • Publisher : Academic Press
  • Release : 2020-01-14
  • Pages : 446
  • ISBN : 0128199083
  • Language : En, Es, Fr & De
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Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic theories and their applications in various optimization fields. Its table of contents covers new concepts, methods, algorithms, modelling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, nonlinear problems and new information related to optimization for the topic from the theoretical and applied viewpoints in neutrosophic sets and logic. All essential topics about neutrosophic optimization and Plithogenic sets make this volume the only single source of comprehensive information New and innovative theories help researchers solve problems under diverse optimization environments Varied applications address practitioner fields such as computational intelligence, image processing, medical diagnosis, fault diagnosis, and optimization design

Intelligent Computing and Innovation on Data Science

Intelligent Computing and Innovation on Data Science
Proceedings of ICTIDS 2019

by Sheng-Lung Peng,Le Hoang Son,G. Suseendran,D. Balaganesh

  • Publisher : Springer Nature
  • Release : 2020-05-14
  • Pages : 801
  • ISBN : 9811532842
  • Language : En, Es, Fr & De
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This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

Information Systems Design and Intelligent Applications

Information Systems Design and Intelligent Applications
Proceedings of Fourth International Conference INDIA 2017

by Vikrant Bhateja,Bao Le Nguyen,Nhu Gia Nguyen,Suresh Chandra Satapathy,Dac-Nhuong Le

  • Publisher : Springer
  • Release : 2018-03-01
  • Pages : 1088
  • ISBN : 9811075123
  • Language : En, Es, Fr & De
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The book is a collection of high-quality peer-reviewed research papers presented at International Conference on Information System Design and Intelligent Applications (INDIA 2017) held at Duy Tan University, Da Nang, Vietnam during 15-17 June 2017. The book covers a wide range of topics of computer science and information technology discipline ranging from image processing, database application, data mining, grid and cloud computing, bioinformatics and many others. The various intelligent tools like swarm intelligence, artificial intelligence, evolutionary algorithms, bio-inspired algorithms have been well applied in different domains for solving various challenging problems.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions
Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23, 2020

by Cengiz Kahraman,Sezi Cevik Onar,Basar Oztaysi,Irem Ucal Sari,Selcuk Cebi,A. Cagri Tolga

  • Publisher : Springer Nature
  • Release : 2020-07-10
  • Pages : 1705
  • ISBN : 3030511561
  • Language : En, Es, Fr & De
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This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Dissertation Abstracts International

Dissertation Abstracts International
The sciences and engineering. B

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2006
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
A Book

by Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi

  • Publisher : Academic Press
  • Release : 2018-11-30
  • Pages : 345
  • ISBN : 012816087X
  • Language : En, Es, Fr & De
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering
A Book

by Valentina E. Balas,Le Hoang Son,Sudan Jha,Manju Khari,Raghvendra Kumar

  • Publisher : Academic Press
  • Release : 2019-06-14
  • Pages : 379
  • ISBN : 0128173572
  • Language : En, Es, Fr & De
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Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Hybrid Soft Computing Approaches

Hybrid Soft Computing Approaches
Research and Applications

by Siddhartha Bhattacharyya,Paramartha Dutta,Susanta Chakraborty

  • Publisher : Springer
  • Release : 2015-08-21
  • Pages : 457
  • ISBN : 8132225449
  • Language : En, Es, Fr & De
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The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.

Mathematical Reviews

Mathematical Reviews
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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