Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention PDF Download
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| Author | : Information Resources Management Association |
| Publisher | : Medical Information Science Reference |
| Total Pages | : 0 |
| Release | : 2022-09-09 |
| Genre | : |
| ISBN | : 9781668475447 |
Download Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention Book in PDF, ePub and Kindle
"This reference investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging by covering topics such as automatic detection, simulation in medical education, and neural networks"--
| 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 |
Download Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, VOL 3 Book in PDF, ePub and Kindle
| 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 | : 9781668485149 |
Download Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, VOL 2 Book in PDF, ePub and Kindle
| 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 | : 9781668485132 |
Download Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, VOL 1 Book in PDF, ePub and Kindle
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1671 |
| Release | : 2022-09-09 |
| Genre | : Medical |
| ISBN | : 1668475456 |
Download Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention Book in PDF, ePub and Kindle
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 | : Archana Mire |
| Publisher | : CRC Press |
| Total Pages | : 168 |
| Release | : 2022-04-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1000575950 |
Download Advances in Deep Learning for Medical Image Analysis Book in PDF, ePub and Kindle
This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
| Author | : Colin G. Miller |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 422 |
| Release | : 2014-01-30 |
| Genre | : Medical |
| ISBN | : 1848827105 |
Download Medical Imaging in Clinical Trials Book in PDF, ePub and Kindle
In the last few years the use of medical imaging has increased exponentially in routine clinical practice. This has been reflected in a rapidly increasing use of medical imaging in clinical trials, through all phases. More recently this has culminated in a number of inter-disciplinary meetings with the various stake holders, including the FDA. Changes in the regulatory process has resulted, when it comes to the submission of data to the FDA, in a therapeutic agent where one or more of the trial end-points is the assessment of a radiological end-point. No longer is it sufficient to have the images read by the local investigator site. The FDA has also identified Medical Imaging as one of the key 6 points in the Critical Path initiative which was launched in 2004. This puts a keen focus on the role of imaging and the need to clearly identify and understand this aspect of clinical trials. As the pharmaceutical, biotech and medical device industry continues to identify ways to improve and speed up product development, medical imaging plays a more significant role. An understanding of the methodology and the metrics is therefore required but difficult to ascertain in one easy to read volume for individuals entering this field. This book will therefore fulfill this void, be it for the pharmaceutical personnel from medical director to monitor, or the Principal Investigator who is having to understand the complexities of the imaging and why it is having to be sent off-site for a 'central read.'
| Author | : Biswadip Basu Mallik |
| Publisher | : CRC Press |
| Total Pages | : 277 |
| Release | : 2024-08-30 |
| Genre | : Computers |
| ISBN | : 1040102360 |
Download Deep Learning Concepts in Operations Research Book in PDF, ePub and Kindle
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 | : Khang, Alex |
| Publisher | : IGI Global |
| Total Pages | : 585 |
| Release | : 2023-10-18 |
| Genre | : Medical |
| ISBN | : |
Download AI and IoT-Based Technologies for Precision Medicine Book in PDF, ePub and Kindle
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
| Author | : Mourade Azrour |
| Publisher | : CRC Press |
| Total Pages | : 118 |
| Release | : 2024-03-13 |
| Genre | : Computers |
| ISBN | : 1003860664 |
Download IoT, Machine Learning and Data Analytics for Smart Healthcare Book in PDF, ePub and Kindle
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
