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| Author | : Information R. . . Management Association |
| Publisher | : Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention |
| Total Pages | : 0 |
| Release | : 2022-09-09 |
| Genre | : |
| ISBN | : 9781668485156 |
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1671 |
| Release | : 2022-09-09 |
| Genre | : Medical |
| ISBN | : 1668475456 |
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.
| Author | : Mourade Azrour |
| Publisher | : CRC Press |
| Total Pages | : 118 |
| Release | : 2024-03-13 |
| Genre | : Computers |
| ISBN | : 1003860664 |
Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students
| Author | : Biswadip Basu Mallik |
| Publisher | : CRC Press |
| Total Pages | : 277 |
| Release | : 2024-08-30 |
| Genre | : Computers |
| ISBN | : 1040102360 |
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines: An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
| Author | : David Wilson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 583 |
| Release | : 2007-04-25 |
| Genre | : Medical |
| ISBN | : 0306486083 |
Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a ?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision fusion. Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational t- ory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image regist- tion and strain measurement. The approach combines well-established prin- ples of nonlinear continuum mechanics with forces derived directly from thr- dimensional image data to achieve registration. The general approach does not require the de?nition of landmarks, ?ducials, or surfaces, although it can - commodate these if available. Representative problems demonstrate the robust and ?exible nature of the approach. Three-dimensional registration methods are introduced for registering MRI volumes of the pelvis and prostate. The chapter ?rst reviews the applications, xi xii Preface challenges, and previous methods of image registration in the prostate.
| Author | : Musiolik, Thomas Heinrich |
| Publisher | : IGI Global |
| Total Pages | : 464 |
| Release | : 2024-05-13 |
| Genre | : Business & Economics |
| ISBN | : |
Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.
| Author | : Swagatam Das |
| Publisher | : Springer Nature |
| Total Pages | : 536 |
| Release | : |
| Genre | : |
| ISBN | : 9819995213 |
| Author | : Nidhi Sindhwani |
| Publisher | : CRC Press |
| Total Pages | : 229 |
| Release | : 2024-06-28 |
| Genre | : Business & Economics |
| ISBN | : 1040030203 |
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 671 |
| Release | : 2020-08-30 |
| Genre | : Medical |
| ISBN | : 1799834425 |
Cognitive impairment, through Alzheimer’s disease or other related forms of dementia, is a serious concern for afflicted individuals and their caregivers. Understanding patients’ mental states and combatting social stigmas are important considerations in caring for cognitively impaired individuals. Technology is playing an increasing role in the lives of the elderly. One of the most prevalent developments for the aging population is the use of technological innovations for intervention and treatment of individuals with mental impairments. Research Anthology on Diagnosing and Treating Neurocognitive Disorders examines the treatment, diagnosis, prevention, and therapeutic and technological interventions of neurodegenerative disorders. It also describes programs and strategies that professional and family caregivers can implement to engage and improve the quality of life of persons suffering from cognitive impairment. Highlighting a range of topics such as dementia, subjective wellbeing, and cognitive decline, this publication is an ideal reference source for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neurocognitive disorder identification and strategies for clinician support and therapies.
| Author | : Bhawna Dhruv |
| Publisher | : Meem Publishers |
| Total Pages | : 0 |
| Release | : 2023-07-11 |
| Genre | : |
| ISBN | : 9785365975590 |
This research focuses on enhancing the impact of 3D medical images through the application of segmentation techniques. 3D medical imaging plays a critical role in diagnosis, treatment planning, and surgical interventions. However, the complexity and size of 3D medical images can pose challenges in accurate interpretation and analysis. The study aims to enhance the impact and utility of 3D medical images by implementing advanced segmentation techniques. These techniques involve the extraction and delineation of specific structures or regions of interest within the images, such as organs, tumors, or blood vessels. The research will explore various segmentation methods, including region-based, boundary-based, and deep learning-based approaches. By effectively segmenting 3D medical images, the proposed techniques can improve visualization, facilitate quantitative analysis, and support more precise surgical interventions. The study will evaluate the performance and effectiveness of the enhanced segmentation techniques using metrics such as Dice coefficient, Jaccard index, and accuracy. The outcomes of this research have the potential to significantly impact the field of medical imaging. The improved segmentation techniques can aid radiologists, surgeons, and researchers in extracting valuable information from 3D medical images, leading to better diagnoses, treatment planning, and patient outcomes. Additionally, the findings may contribute to the development of automated systems that can assist in real-time segmentation and analysis of 3D medical images, enhancing efficiency and accuracy. In summary, this research aims to enhance the impact and utility of 3D medical images through the implementation of advanced segmentation techniques. The outcomes can have a positive impact on healthcare by improving the interpretation, analysis, and utilization of 3D medical imaging, ultimately leading to improved patient care and outcomes.
