Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods
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Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods
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Author : Kemal Polat
language : en
Publisher: Elsevier
Release Date : 2023-05-05
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 2023-05-05 with Computers categories.
Analysis of medical signals and images plays an important role in the early diagnosis and treatment of diseases. Thanks to the development of technology, widespread use of medical imaging devices has become beneficial to human health. However, despite advances in technology, the number of patients and the workload of healthcare professionals is ever increasing. Deep learning methods and approaches have the potential to help relieve the workload of doctors and facilitate early diagnosis. This can help to improve the healthcare system and people's quality of life. Diagnostic Biomedical Signal and Image Processing Applications presents comprehensive research focusing on both medical imaging and medical signals analysis. It discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, among others. These image and signal modalities include real challenges, which are the main themes that medical imaging and medical signal processing researchers focus on today. The proposed 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. Investigates novel concepts of deep learning for acquisition of non-invasive biomedical image and signal modalities for different disorders Explores implementation of novel deep learning and CNN methodologies and their impact studies 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
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
Biomedical Signal And Image Processing With Artificial Intelligence
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Author : Chirag Paunwala
language : en
Publisher: Springer Nature
Release Date : 2023-01-09
Biomedical Signal And Image Processing With Artificial Intelligence written by Chirag Paunwala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-09 with Technology & Engineering categories.
This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.
Machine Learning For Healthcare
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Author : Rasit Dinc
language : en
Publisher: Troubador Publishing Ltd
Release Date : 2024-07-23
Machine Learning For Healthcare written by Rasit Dinc and has been published by Troubador Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-23 with Technology & Engineering categories.
Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care.
Information Technologies And Their Applications
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Author : Gulchohra Mammadova
language : en
Publisher: Springer Nature
Release Date : 2024-10-16
Information Technologies And Their Applications written by Gulchohra Mammadova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
The two-volume set CCIS 2225 and 2226 constitutes the proceedings of the Second International Conference on Information Technologies and Their Applications, ITTA 2024, held in Baku, Azerbaijan, during April 23-25, 2024. The 51 full papers and 9 short papers presented were carefully reviewed and selected from 200 submissions. They were organized in the following topical sections: Part I - information technology in intelligent systems; and information technology in modeling. Part II - information technology applied in construction, industry, and engineering; and information technology in decision making.
Artificial Intelligence Towards Sustainable Intelligence
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Author : Sanju Tiwari
language : en
Publisher: Springer Nature
Release Date : 2023-11-29
Artificial Intelligence Towards Sustainable Intelligence written by Sanju Tiwari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Computers categories.
This book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023. The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners.
Sports Analytics
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Author : Jin Song Dong
language : en
Publisher: Springer Nature
Release Date : 2024-09-24
Sports Analytics written by Jin Song Dong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Sports Analytics, ISACE 2024, held in Paris, France, during July 12–13, 2024. The 19 full papers, 1 short paper and 7 Practical Experience papers included in this volume were carefully reviewed and selected from a total of 66 submissions. The vision of this new International Sports Analytics Conference and Exhibition (ISACE) series is to bring leading academics, researchers, coaches, psychologists, managers and technologists together to advance the state-of-the-art of sports analytics.
Fostering Healthcare Through Artificial Intelligence
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Author : Kavita Khare
language : en
Publisher: CRC Press
Release Date : 2025-09-30
Fostering Healthcare Through Artificial Intelligence written by Kavita Khare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Technology & Engineering categories.
In this book, readers can explore the transformative power of artificial intelligence (AI) in reshaping modern healthcare. The book dives deep into how cutting- edge technologies are revolutionizing diagnostics, patient care, and medical research. From the predictive analytics that anticipate disease outbreaks to intelligent systems that enhance clinical decisionmaking, this book reveals how AI technologies are playing a transformative role in healthcare domain. Designed for healthcare professionals and AI enthusiasts, this book presents real- world applications, ethical considerations, and visionary insights from researchers and industry. The book provides readers a comprehensive understanding of AI’s potential to drive meaningful change. This book: Covers high-performance computing field programmable gate array networks for machine learning-based biomedical applications Presents machine learning algorithms for cancer susceptibility, recurrence, and survival prediction Discusses the use of high-performance computing (HPC) in the execution of low-power processors for healthcare devices Demonstrates detailed performance analysis of wearable healthcare devices Highlights the use of Pix2pix generative adversarial networks for mammographically occult breast cancer detection Whether you're navigating the complexities of digital health transformation or simply curious about AI’s role in medicine, Fostering Healthcare through Artificial Intelligence is your essential guide to understanding how technology can foster a healthier, smarter future for all.
Deep Learning And Computer Vision Models And Biomedical Applications
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Author : Uma N. Dulhare
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
Deep Learning And Computer Vision Models And Biomedical Applications written by Uma N. Dulhare and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.
This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
Bioinformatics And Medical Informatics Annual Volume 2024
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-07-31
Bioinformatics And Medical Informatics Annual Volume 2024 written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with categories.