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
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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.
Deep Learning In Medical Signal And Image Processing
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Author : Aamir, Muhammad
language : en
Publisher: IGI Global
Release Date : 2025-05-23
Deep Learning In Medical Signal And Image Processing written by Aamir, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Deep learning is revolutionizing the analysis of medical signals and images, offering unprecedented advancements in diagnostic accuracy and efficiency. Techniques such as convolutional and recurrent neural networks are transforming the processing of radiological scans, ultrasound images, and ECG readings. By enabling more detailed and precise interpretations, deep learning enhances the ability of healthcare providers to make timely and informed decisions. These innovations are reshaping medical workflows, improving patient outcomes, and paving the way for a future of more reliable and efficient healthcare solutions. Deep Learning in Medical Signal and Image Processing offers a comprehensive examination of deep learning, specifically through convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to medical data. It explores the application of AI in the analysis of medical signals and images. Covering topics such as diagnostic accuracy, enhanced decision-making, and data augmentation techniques, this book is an excellent resource for medical practitioners, clinicians, data scientists, AI researchers, healthcare professionals, engineers, professionals, researchers, scholars, academicians, and more.
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.
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.
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.
Fourth International Conference On Image Processing And Capsule Networks
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Author : Subarna Shakya
language : en
Publisher: Springer Nature
Release Date : 2023-11-17
Fourth International Conference On Image Processing And Capsule Networks written by Subarna Shakya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-17 with Computers categories.
This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.
Medical Image Recognition Segmentation And Parsing
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Author : S. Kevin Zhou
language : en
Publisher: Academic Press
Release Date : 2015-12-11
Medical Image Recognition Segmentation And Parsing written by S. Kevin Zhou and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Computers categories.
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: - Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects - Methods and theories for medical image recognition, segmentation and parsing of multiple objects - Efficient and effective machine learning solutions based on big datasets - Selected applications of medical image parsing using proven algorithms - Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects - Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets - Includes algorithms for recognizing and parsing of known anatomies for practical applications
Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods
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Author : Kemal Polat
language : en
Publisher: Elsevier
Release Date : 2023-04-30
Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods written by Kemal Polat and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-30 with Computers categories.
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases. - Investigates novel concepts of deep learning for acquisition of non-invasive biomedical image and signal modalities for different disorders - Explores the implementation of novel deep learning and CNN methodologies and their impact studies that have been tested on different medical case studies - Presents end-to-end CNN architectures for automatic detection of situations where early diagnosis is important - Includes novel methodologies, datasets, design and simulation examples
Proceedings Of 2024 International Conference On Medical Imaging And Computer Aided Diagnosis Micad 2024
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Author : Ruidan Su
language : en
Publisher: Springer Nature
Release Date : 2025-04-03
Proceedings Of 2024 International Conference On Medical Imaging And Computer Aided Diagnosis Micad 2024 written by Ruidan Su and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.
This book aims to provide a collaborative platform for leading technology minds to exchange insights, foster interdisciplinary dialogue, and propel advancements in both medical imaging and computer-aided diagnosis. As technology evolves, a plethora of state-of-the-art human imaging devices have made remarkable strides in the medical field, transforming diagnostic and treatment standards. Concurrently, there is a growing emphasis on extracting and deciphering extensive information from medical images, spurring the demand for innovative solutions. The fusion of digital image processing and computer vision technologies has paved the way for computer-aided diagnosis (CAD), a pivotal player in disease analysis. This conference extends a warm invitation to researchers, scholars, engineers, scientists, industry leaders, and graduate students active in these fields. Through diverse participation formats, including compelling poster presentations and enlightening oral sessions, attendees will gain profound insights into the intricate interplay between these realms. This book showcases the latest technological breakthroughs, forging valuable connections and envisioning future applications.
Data Processing And Networking
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Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
Data Processing And Networking written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Technology & Engineering categories.
This book includes selected papers presented at the International Conference on Data Processing and Networking (ICDPN 2024), organized by Institute of Technology and Business in České Budějovice, Near Prague, Czech Republic, during 25–26 October 2024. It covers up-to-date cutting-edge research on big data processing and analytics, data mining and machine learning, artificial intelligence and deep learning, wireless, mobile, and ad hoc networks, network security and privacy, internet of things (IOT) and sensor networks, data communication, and computer vision and image processing.