Computer Vision And Machine Intelligence In Medical Image Analysis
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Deep Learning For Medical Image Analysis
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Author : S. Kevin Zhou
language : en
Publisher: Academic Press
Release Date : 2023-11-23
Deep Learning For Medical Image Analysis 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 2023-11-23 with Computers categories.
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. - Covers common research problems in medical image analysis and their challenges - Describes the latest deep learning methods and the theories behind approaches for medical image analysis - Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment· Includes a Foreword written by Nicholas Ayache
Computer Vision And Machine Intelligence In Medical Image Analysis
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Author : Mousumi Gupta
language : en
Publisher: Springer Nature
Release Date : 2019-08-28
Computer Vision And Machine Intelligence In Medical Image Analysis written by Mousumi Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-28 with Technology & Engineering categories.
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.
Advancement Of Machine Intelligence In Interactive Medical Image Analysis
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Author : Om Prakash Verma
language : en
Publisher: Springer Nature
Release Date : 2019-12-11
Advancement Of Machine Intelligence In Interactive Medical Image Analysis written by Om Prakash Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Computers categories.
The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.
Advanced Machine Vision Paradigms For Medical Image Analysis
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Author : Tapan K. Gandhi
language : en
Publisher: Academic Press
Release Date : 2020-08-11
Advanced Machine Vision Paradigms For Medical Image Analysis written by Tapan K. Gandhi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.
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
Machine Learning In Medical Imaging And Computer Vision
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Author : Amita Nandal
language : en
Publisher: IET
Release Date : 2024-01-09
Machine Learning In Medical Imaging And Computer Vision written by Amita Nandal and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-09 with Computers categories.
This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses.
Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence
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Author : Seema Bhatnagar
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2024-09-24
Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence written by Seema Bhatnagar 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 2024-09-24 with Medical categories.
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
Medical Imaging
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Author : K.C. Santosh
language : en
Publisher: CRC Press
Release Date : 2019-08-20
Medical Imaging written by K.C. Santosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Computers categories.
Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.
Hybrid Machine Intelligence For Medical Image Analysis
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Springer
Release Date : 2019-08-08
Hybrid Machine Intelligence For Medical Image Analysis written by Siddhartha Bhattacharyya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-08 with Technology & Engineering categories.
The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Explainable Artificial Intelligence In Medical Imaging
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Author : Amjad Rehman Khan
language : en
Publisher: CRC Press
Release Date : 2025-02-27
Explainable Artificial Intelligence In Medical Imaging written by Amjad Rehman Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Medical categories.
Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industry’s next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered. Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. This book overviews the principles, methods, issues, challenges, opportunities, and the most recent research findings. It makes the emerging topics of digital health and explainable AI in health care and medical imaging accessible to a wide audience by presenting various practical applications. Presenting a thorough review of state-of-the-art techniques for precise analysis and diagnosis, the book emphasizes explainable artificial intelligence and its applications in healthcare. The book also discusses computational vision processing methods that manage complicated data, including physiological data, electronic medical records, and medical imaging data, enabling early prediction. Researchers, academics, business professionals, health practitioners, and students all can benefit from this book’s insights and coverage.
Interpretability Of Machine Intelligence In Medical Image Computing And Topological Data Analysis And Its Applications For Medical Data
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Author : Mauricio Reyes
language : en
Publisher: Springer Nature
Release Date : 2021-09-21
Interpretability Of Machine Intelligence In Medical Image Computing And Topological Data Analysis And Its Applications For Medical Data written by Mauricio Reyes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-21 with Computers categories.
This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. 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. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.