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.


The Third International Conference on the Development of Biomedical Engineering in Vietnam

The Third International Conference on the Development of Biomedical Engineering in Vietnam

Author: Vo Van Toi

Publisher: Springer Science & Business Media

Published: 2010-04-03

Total Pages: 339

ISBN-13: 3642120202

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Vietnam is a rapidly developing, socially dynamic country, where interest in biomedical engineering activities has grown considerably in recent years. The leadership of the Vietnamese government, and of research and educational institutions, are well aware of the importance of this field for the development of the country and have instituted policies to promote its development. The political, economic and social environment within the country offers unique opportunities for the international community and this conference was intended to provide a vehicle for the sharing of experiences; development of support and collaboration networks for research; and exchange of ideas on how to improve the educational and entrepreneurial environment to better address the urgent needs of Vietnam. In January 2004, under the sponsorship of the U.S. National Science Foundation, a U.S. delegation that consisted of Biomedical Engineering professors from different universities in the United States, visited several universities and research institutions in Vietnam to assess the state of development of this field. This delegation proposed a five year plan that was enthusiastically embraced by the international scientific communities to actively develop collaborations with Vietnam. Within this framework, in July 2005, the First International Conference on the Development of Biomedical Engineering in Vietnam was held in Ho Chi Minh City. From that conference a Consortium of Vietnam-International Universities was created to advise and assist the development of Biomedical Engineering in Vietnamese universities.


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.


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


Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2022-09-09

Total Pages: 1671

ISBN-13: 1668475456

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Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.


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.


Biomedical Image Processing

Biomedical Image Processing

Author: Thomas Martin Deserno

Publisher: Springer Science & Business Media

Published: 2011-03-01

Total Pages: 617

ISBN-13: 3642158161

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In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.