Topic Editor H. Peter Soyer is a shareholder of MoleMap NZ Limited and e-derm consult GmbH, and undertakes regular teledermatological reporting for both companies. He is a Medical Consultant for Canfield Scientific Inc., MetaOptima and Revenio Research Oy and also a Medical Advisor for First Derm.

Imaging in Dermatology covers a large number of topics in dermatological imaging, the use of lasers in dermatology studies, and the implications of using these technologies in research. Written by the experts working in these exciting fields, the book explicitly addresses not only current applications of nanotechnology, but also discusses future trends of these ever-growing and rapidly changing fields, providing clinicians and researchers with a clear understanding of the advantages and challenges of laser and imaging technologies in skin medicine today, along with the cellular and molecular effects of these technologies. - Outlines the fundamentals of imaging and lasers for dermatology in clinical and research settings - Provides knowledge of current and future applications of dermatological imaging and lasers - Coherently structured book written by the experts working in the fields covered

This lavishly illustrated guide from experts will enable practitioners to get the most out of dermoscopy for investigations and treatments in general dermatology.

There has been a growing amount of research detailing the use of Artificial Intelligence (AI) in cutaneous diseases. Nonetheless, we still do not have a regulatory agency approved app or computer system being used by dermatologists (or other physicians that could be confronted with challenging skin lesions) in daily practice. Why is this? Where do we stand now? What is next in this field? It is time to deeply explore this theme.

COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.

This atlas is a comprehensive guide to interventional pain management procedures. Divided into 11 sections, the book begins with an overview of the subject, covering radiological anatomy, common image-guided procedures, radiation protection, MRI, protocols, and more. Each of the following sections covers procedures for pain management in different parts on the body, including head and neck, cervical spine, chest and thorax, lumbosacral spine; as well as neuromodulation, and peripheral and sympathetic blocks. The final chapters examine ultrasound guided block and ultrasound guided dry needling. Presented in bullet point style, each topic follows a step by step approach, explaining indications, contraindications, equipment, and procedural techniques. Edited by recognised experts from India, the UK and the US, and with contributions from leading international experts, this book is highly illustrated with radiological images and figures. Access to procedural videos via a QR code is also included with the atlas.