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In recent years, there have been significant progress in computational intelligence and image processing with machine learning and deep learning as important components of modern artificial intelligence. All these progresses face challenges in dealing with Covid-19 pandemic for detection and treatment.This comprehensive compendium provides not only updated advances of computational intelligence and image processing in the detection and treatment of Covid-19, but also other medical applications such as in cancer detection and cardiovascular diseases, etc. More traditional approaches such as 2D segmentation and 3D reconstruction are included.The useful reference text is an updated version of the edited title, Computer Vision in Medical Imaging (World Scientific, 2014) and its companion volume, Frontiers of Medical Imaging (World Scientific, 2015). The book is written for engineers, scientists and the medical community to meet the increased challenges in medical applications.
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
- Presents the latest in-depth engineering and mathematical studies - Gives an overview of recent research and clinical evaluation results - Contributions from international medical and engineering experts
Functional imaging of the brain is one of the most rapidly advancing areas of neuroscience and Positron Emission Tomography (PET) plays a major role in this progress. This book provides a comprehensive overview of the current status of PET and state-of-the-art neuroimaging. It is comprised of summaries of the presentations by experts in the field. Topics covered include radiotracer selection, advances in instrumentation, image reconstruction and data analysis, and statistical mapping of brain activity. This book focuses on the accuracy of the functional image and the strategies for addressing clinical, scientific, and diagnostic questions.Covers the PET imaging process from tracer selection to analysis and interpretationContains 79 concise reports with abundant illustrationsThe definitive state-of-the-art book for functional neuroscience with PET
While aging—from middle age and beyond—changes in our bodies occur. Healthy knowledge and behavior can slow down the sand in the hourglass of our lifespan. Degenerative diseases like cancer, heart problems, dementia, balance problems and other conditions that may accompany our golden years can be prevented, minimized or eliminated. This book looks at the many ways that nutrition, exercise and other disease preventatives can aid in living a happier and longer life.
The two-volume set LNCS 3749 and LNCS 3750 constitutes the refereed proceedings of the 8th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2005, held in Palm Springs, CA, USA, in October 2005. Based on rigorous peer reviews the program committee selected 237 carefully revised full papers from 632 submissions for presentation in two volumes. The first volume includes all the contributions related to image analysis and validation, vascular image segmentation, image registration, diffusion tensor image analysis, image segmentation and analysis, clinical applications - validation, imaging systems - visualization, computer assisted diagnosis, cellular and molecular image analysis, physically-based modeling, robotics and intervention, medical image computing for clinical applications, and biological imaging - simulation and modeling. The second volume collects the papers related to robotics, image-guided surgery and interventions, image registration, medical image computing , structural and functional brain analysis, model-based image analysis, image-guided intervention: simulation, modeling and display, and image segmentation and analysis.