Advances in Biomedical Sensing, Measurements, Instrumentation and Systems
Advances in Biomedical Sensing, Measurements, Instrumentation and Systems

Author: Aimé Lay-Ekuakille

Publisher: Springer Science & Business Media

Published: 2009-12-24

Total Pages: 364

ISBN-13: 3642051677

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Advances in technological devices unveil new architectures for instrumentation and improvements in measurement techniques. Sensing technology, related to biomedical aspects, plays a key role in nowadays applications; it promotes different advantages for: healthcare, solving difficulties for elderly persons, clinical analysis, microbiological characterizations, etc.. This book intends to illustrate and to collect recent advances in biomedical measurements and sensing instrumentation, not as an encyclopedia but as clever support for scientists, students and researchers in other to stimulate exchange and discussions for further developments.

Machine Learning for Medical Image Reconstruction
Machine Learning for Medical Image Reconstruction

Author: Nandinee Haq

Publisher: Springer Nature

Published: 2022-09-22

Total Pages: 162

ISBN-13: 3031172477

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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore. The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Medical Image Processing for Improved Clinical Diagnosis
Medical Image Processing for Improved Clinical Diagnosis

Author: Swarnambiga, A.

Publisher: IGI Global

Published: 2018-08-31

Total Pages: 338

ISBN-13: 1522558772

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In the medical field, there is a constant need to improve professionals’ abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.

Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis

Author: S. Kevin Zhou

Publisher: Academic Press

Published: 2023-11-23

Total Pages: 544

ISBN-13: 0323858880

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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

Histopathological Image Analysis in Medical Decision Making
Histopathological Image Analysis in Medical Decision Making

Author: Dey, Nilanjan

Publisher: IGI Global

Published: 2018-09-21

Total Pages: 360

ISBN-13: 1522563172

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Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

Ophthalmic Medical Image Analysis
Ophthalmic Medical Image Analysis

Author: Huazhu Fu

Publisher: Springer Nature

Published: 2019-10-10

Total Pages: 202

ISBN-13: 3030329569

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This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 22 full papers (out of 36 submissions) presented at OMIA 2019 were carefully reviewed and selected. The papers cover various topics in the field of ophthalmic image analysis.

Medical Imaging Methods
Medical Imaging Methods

Author: Ashutosh Kumar Shukla

Publisher: CRC Press

Published: 2021-12-26

Total Pages: 191

ISBN-13: 1000528154

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This volume presents pedagogical content to understand theoretical and practical aspects of diagnostic imaging techniques. It provides insights to current practices, and also discusses specific practical features like radiation exposure, radiation sensitivity, signal penetration, tissue interaction, and signal confinement with reference to individual imaging techniques. It also covers relatively less common imaging methods in addition to the established ones. It serves as a reference for researchers and students working in the field of medical, biomedical science, physics, and instrumentation. Key Features • Focusses on the clinical applications while ensuring a steady understanding of the underlying science • Follows a bottom-up approach to cover the theory, calculations, and modalities to aid students and researchers in biomedical imaging, radiology and instrumentation • Covers unique concepts of nanoparticle applications along with ethical issues in medical imaging

Deep Learning in Medical Image Analysis
Deep Learning in Medical Image Analysis

Author: Gobert Lee

Publisher: Springer Nature

Published: 2020-02-06

Total Pages: 184

ISBN-13: 3030331288

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This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Computational Intelligence in Medical Imaging
Computational Intelligence in Medical Imaging

Author: G. Schaefer

Publisher: CRC Press

Published: 2009-03-24

Total Pages: 512

ISBN-13: 1420060619

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CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further researchA compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical