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Content Based Microscopic Image Analysis


Content Based Microscopic Image Analysis
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Content Based Microscopic Image Analysis


Content Based Microscopic Image Analysis
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Author : Chen Li
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2016-05-15

Content Based Microscopic Image Analysis written by Chen Li and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-15 with Computers categories.


In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approach is a general supervised learning method, which consists of image segmentation, shape feature extraction, classification, and feature fusion, leading to a semi-automatic approach. In contrast, the second approach is a WSL method, which contains Sparse Coding (SC) feature extraction, classification, and feature fusion, leading to a full-automatic approach. In this WSL approach, the problems of noisy image and object recognition are jointly resolved by a region-based classifier, and the image rotation problem is figured out through SC features. To demonstrate the usefulness and potential of the proposed methods, experiments are implemented on di erent practical biological tasks, including environmental microorganism classification, stem cell analysis, and insect tracking.



Content Based Microscopic Image Analysis


Content Based Microscopic Image Analysis
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Author : Chen Li
language : en
Publisher:
Release Date : 2016

Content Based Microscopic Image Analysis written by Chen Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.




Computer Vision For Microscopy Image Analysis


Computer Vision For Microscopy Image Analysis
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Author : Mei Chen
language : en
Publisher: Academic Press
Release Date : 2020-12-01

Computer Vision For Microscopy Image Analysis written by Mei Chen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.


Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts.Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information.Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation.This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. - Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery - Grasp the state-of-the-art approaches, especially deep neural networks - Learn where to obtain open-source datasets and software to jumpstart his or her own investigation



Microscope Image Processing


Microscope Image Processing
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Author : Qiang Wu
language : en
Publisher: Academic Press
Release Date : 2008

Microscope Image Processing written by Qiang Wu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.


Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology. Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination. Key Features: • Detailed descriptions of many leading-edge methods and algorithms • In-depth analysis of the method and experimental results, taken from real-life examples • Emphasis on computational and algorithmic aspects of microscope image processing • Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable. * Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms. * Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments. * Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject.



Ai Innovation In Medical Imaging Diagnostics


Ai Innovation In Medical Imaging Diagnostics
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Author : Anbarasan, Kalaivani
language : en
Publisher: IGI Global
Release Date : 2021-01-01

Ai Innovation In Medical Imaging Diagnostics written by Anbarasan, Kalaivani and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-01 with Medical categories.


Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.



Computer Assisted Microscopy


Computer Assisted Microscopy
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Author : John C. Russ
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Computer Assisted Microscopy written by John C. Russ and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


The use of computer-based image analysis systems for all kinds of images, but especially for microscope images, has become increasingly widespread in recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discrimination and measurement, will continue to be developed. This is likely to be true particularly in the field of three-dimensional imaging, since new microscopy methods are beginning to be used which can produce such data. It is not the intent of this book to train programmers who will assemble their own computer systems and write their own programs. Most users require only the barest of knowledge about how to use the computer, but the greater their understanding of the various image analysis operations which are possible, their advantages and limitations, the greater the likelihood of success in their application. Likewise, the book assumes little in the way of a mathematical background, but the researcher with a secure knowledge of appropriate statistical tests will find it easier to put some of these methods into real use, and have confidence in the results, than one who has less background and experience. Supplementary texts and courses in statistics, microscopy, and specimen preparation are recommended as necessary.



Information Technology In Biomedicine


Information Technology In Biomedicine
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Author : Ewa Pietka
language : en
Publisher: Springer
Release Date : 2018-06-05

Information Technology In Biomedicine written by Ewa Pietka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-05 with Technology & Engineering categories.


ITiB’2018 is the 6th Conference on Information Technology in Biomedicine, hosted every two years by the Department of Informatics & Medical Devices, Faculty of Biomedical Engineering, Silesian University of Technology. The Conference is organized under the auspices of the Committee on Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. The meeting has become an established event that helps to address the demand for fast and reliable technologies capable of processing data and delivering results in a user-friendly, timely and mobile manner. Many of these areas are recognized as research and development frontiers in employing new technology in the clinical setting. Technological assistance can be found in prevention, diagnosis, treatment, and rehabilitation alike. Homecare support for any type of disability may improve standard of living and make people’s lives safer and more comfortable. The book includes the following sections: Ø Image Processing Ø Multimodal Imaging and Computer-aided Surgery Ø Computer-aided Diagnosis Ø Signal Processing and Medical Devices Ø Bioinformatics Ø Modelling & Simulation Ø Analytics in Action on the SAS Platform Ø Assistive Technologies and Affective Computing (ATAC)



Abstract Book International Congress On Health Sciences And Medical Technologies Ichsmt 19


Abstract Book International Congress On Health Sciences And Medical Technologies Ichsmt 19
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Author : Vania V Estrela
language : en
Publisher: Knowledge Kingdom Publishing
Release Date : 2019-12-12

Abstract Book International Congress On Health Sciences And Medical Technologies Ichsmt 19 written by Vania V Estrela and has been published by Knowledge Kingdom Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Medical categories.


The International Congress on Health Sciences and Medical Technologies (ICHSMT’19) is an interdisciplinary platform for medical findings and innovations. It is an exceptional great endeavor to increase and strengthen the outstanding academic and professional progress fostered by all the joined efforts as well as relevant feedback on keeping the prior quality. It attracts a diversity of researchers, students, and organizations to contribute to the scientific progress. It is held at Tlemcen (Les Zianides Hotel) Algeria between 5 and 7 December 2019.



Explainable Artificial Intelligence In Medical Imaging


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.



Health Information Science


Health Information Science
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Author : Xiaoxia Yin
language : en
Publisher: Springer
Release Date : 2015-05-05

Health Information Science written by Xiaoxia Yin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-05 with Medical categories.


This book constitutes the refereed proceedings of the 4th International Conference on Health Information Science, HIS 2014, held in Melbourne, Australia, in May 2015. The 20 full papers and 5 short papers presented were carefully reviewed and selected from numerous submissions. The scope of the papers includes medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer aided diagnosis; development of new architectures and applications for health information systems.