The Application Of Cnn And Hybrid Networks In Medical Images Processing And Cancer Classification


The Application Of Cnn And Hybrid Networks In Medical Images Processing And Cancer Classification
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The Application Of Cnn And Hybrid Networks In Medical Images Processing And Cancer Classification


The Application Of Cnn And Hybrid Networks In Medical Images Processing And Cancer Classification
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Author : Yuriy Zaychenko
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-07-26

The Application Of Cnn And Hybrid Networks In Medical Images Processing And Cancer Classification written by Yuriy Zaychenko and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Medical categories.


This book is devoted to the problems of information technologies (IT) and artificial intelligence methods applied to medical image processing, tumour detection and cancer classification in different human organs, including the breasts, lungs and brain. The most efficient modern tools in the problem of medical images processing and analysis are considered- convolutional neural networks (CNN). The main goal of this book is to present and analyze new perspective architectures of CNN aimed to increase accuracy of cancer classification. This book contains new approaches for improving efficiency of cancer detection in comparison with known CNN structures. The numerous experimental investigations proved their better efficiency by different classification criteria as compared with known. This book will be useful to specialists engaged in IT applications in medicine, dealing with development and application of medical diagnostics systems, students and postgraduates in Computer Science, all persons who are interested in IT applications in medicine, medical personnel engaged in malignant tumour diagnostics and cancer detection, and the wider public interested in the problems of cancer diagnostics that desire to extend their knowledge of prospective IT methods and their effectively solutions.



Advances In Natural Computation Fuzzy Systems And Knowledge Discovery


Advances In Natural Computation Fuzzy Systems And Knowledge Discovery
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Author : Yong Liu
language : en
Publisher: Springer Nature
Release Date : 2019-11-06

Advances In Natural Computation Fuzzy Systems And Knowledge Discovery written by Yong Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Technology & Engineering categories.


This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.



Mathematical Modeling And Simulation Of Systems Mods 2020


Mathematical Modeling And Simulation Of Systems Mods 2020
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Author : Serhiy Shkarlet
language : en
Publisher: Springer Nature
Release Date : 2020-08-29

Mathematical Modeling And Simulation Of Systems Mods 2020 written by Serhiy Shkarlet and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-29 with Technology & Engineering categories.


This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who are involved in the development of real events models: analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 15th International Scientific-Practical Conference, MODS, June 29–July 01, 2020, Chernihiv, Ukraine.



Brain Tumor Detection Based On Convolutional Neural Network With Neutrosophic Expert Maximum Fuzzy Sure Entropy


Brain Tumor Detection Based On Convolutional Neural Network With Neutrosophic Expert Maximum Fuzzy Sure Entropy
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Author : Fatih ÖZYURT
language : en
Publisher: Infinite Study
Release Date :

Brain Tumor Detection Based On Convolutional Neural Network With Neutrosophic Expert Maximum Fuzzy Sure Entropy written by Fatih ÖZYURT and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Brain tumor classification is a challenging task in the field of medical image processing. The present study proposes a hybrid method using Neutrosophy and Convolutional Neural Network (NS-CNN). It aims to classify tumor region areas that are segmented from brain images as benign and malignant. In the first stage, MRI images were segmented using the neutrosophic set – expert maximum fuzzy-sure entropy (NS-EMFSE) approach.



Hybrid Image Processing Methods For Medical Image Examination


Hybrid Image Processing Methods For Medical Image Examination
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Author : Venkatesan Rajinikanth
language : en
Publisher: CRC Press
Release Date : 2021-01-29

Hybrid Image Processing Methods For Medical Image Examination written by Venkatesan Rajinikanth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-29 with Computers categories.


Provides broad background on various image thresholding and segmentation techniques. Discusses information on various assessment metrics and the confusion matrix. Proposes integration of the thresholding technique with the bio-inspired algorithms. Explores case studies including MRI, CT, dermoscopy and ultrasound images. Includes separate chapters on machine learning and deep learning for medical image processing.



Innovative Smart Healthcare And Bio Medical Systems


Innovative Smart Healthcare And Bio Medical Systems
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Author : Abdel-Badeeh Salem
language : en
Publisher: CRC Press
Release Date : 2020-12-27

Innovative Smart Healthcare And Bio Medical Systems written by Abdel-Badeeh Salem and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-27 with Computers categories.


Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems. It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.



Advances In Computational Intelligence And Communication Technology


Advances In Computational Intelligence And Communication Technology
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Author : Xiao-Zhi Gao
language : en
Publisher: Springer Nature
Release Date : 2020-06-18

Advances In Computational Intelligence And Communication Technology written by Xiao-Zhi Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Technology & Engineering categories.


This book features high-quality papers presented at the International Conference on Computational Intelligence and Communication Technology (CICT 2019) organized by ABES Engineering College, Ghaziabad, India, and held from February 22 to 23, 2019. It includes the latest advances and research findings in fields of computational science and communication such as communication & networking, web & informatics, hardware and software designs, distributed & parallel processing, advanced software engineering, advanced database management systems and bioinformatics. As such, it is of interest to research scholars, students, and engineers around the globe.



Computational Intelligence


Computational Intelligence
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Author : Anupam Shukla
language : en
Publisher: Springer Nature
Release Date : 2023-02-15

Computational Intelligence written by Anupam Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Technology & Engineering categories.


The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.



Machine Learning And Artificial Intelligence


Machine Learning And Artificial Intelligence
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Author : J.-L. Kim
language : en
Publisher: IOS Press
Release Date : 2022-12-09

Machine Learning And Artificial Intelligence written by J.-L. Kim and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.


Machine learning (ML) and artificial intelligence (AI) applications are now so pervasive that they have become indispensable facilitators which improve the quality of all our daily lives. This book presents the proceeding of MLIS 2022, the 4th International Conference on Machine Learning and Intelligent Systems, held as a virtual event due to the continued uncertainty caused by the Covid-19 pandemic and hosted in Seoul, South Korea from 8 to 11 November 2022. The aim of the annual MLIS conference is to provide a platform for the exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems, and to strengthen links in the scientific community in related research areas. Scientific topics covered at MLIS 2022 included data mining, image processing, neural networks, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. The book contains the 20 papers selected for acceptance after a rigorous peer review process from the more than 90 full papers submitted. Selection criteria were based on originality, scientific/practical significance, compelling logical reasoning and language, and the 20 papers included here all provide either innovative and original ideas or results of general significance in the field of ML and AI. Providing an overview of the latest research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.



Proceedings Of The 2nd International Conference On Signal And Data Processing


Proceedings Of The 2nd International Conference On Signal And Data Processing
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Author : K. P. Ray
language : en
Publisher: Springer Nature
Release Date : 2023-06-27

Proceedings Of The 2nd International Conference On Signal And Data Processing written by K. P. Ray and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-27 with Technology & Engineering categories.


This volume comprises the select proceedings of the 2nd International Conference on Signal & Data Processing (ICSDP) 2022. The contents focus on the latest research and developments in the field of artificial intelligence & machine learning, Internet of things (IoT), cybernetics, advanced communication systems, VLSI embedded systems, power electronics and automation, MEMS/ nanotechnology, renewable energy, bioinformatics, data acquisition and mining, antenna & RF systems, power systems, biomedical engineering, aerospace & navigation. This volume will prove to be a valuable resource for those in academia and industry.