Photoptics 2016

Optical systems are ubiquitous in modern society, from medical sciences to space exploration, telecommunications, information processing and numerous industrial and military applications of all kinds This 4th edition of PHOTOPTICS will feature 3 different tracks on Optics, Photonics and Lasers, covering both theoretical and practical aspects Researchers, engineers and practitioners interested in any of these fields are welcome to join us in Berlin and present their work on new methods or technologies, advanced prototypes, systems, tools and techniques, as well as general survey papers indicating future directions.

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This handbook provides biomedical engineers, computer scientists, and multidisciplinary researchers with a significant resource for addressing the increase in the prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration. Presents the latest computational methods for designing and using Decision-Support Systems for ophthalmologic disorders in the human eye Conveys the role of a variety of computational methods and algorithms for efficient and effective diagnosis of ophthalmologic disorders, including Diabetic Retinopathy, Glaucoma, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders Explains how to develop and apply a variety of computational diagnosis systems and technologies, including medical image processing algorithms, bioinspired optimization, Deep Learning, computational intelligence systems, fuzzy-based segmentation methods, transfer learning approaches, and hybrid Artificial Neural Networks

This collection of the selected papers presented to the Second International Conference on Photonics, Optics and laser technology PHOTOPTICS 2014 covers the three main conference scientific areas of “Optics”, “Photonics” and “Lasers”. The selected papers, in two classes full and short, result from a double blind review carried out by conference Program Committee members who are highly qualified experts in the conference topic areas.

The book provides a collection of selected papers presented to the third International Conference on Photonics, Optics and Laser Technology PHOTOPTICS 2015, covering the three main conference scientific areas of “Optics”, “Photonics” and “Lasers”. The selected papers, in two classes full and short, result from a double blind review carried out by the conference program committee members which are highly qualified experts in conference topic areas.

This book covers key theoretical and practical aspects of optics, photonics and lasers. It addresses optical instrumentation and metrology, photonic and optoelectronic materials and devices, nanophotonics, organic and bio-photonics and high-field phenomena. Researchers, engineers, students and practitioners interested in any of these fields will find a wealth of new methods, technologies, advanced prototypes, systems, tools and techniques, as well as general surveys outlining future directions.

Photovoltaic (PV) solar energy is expected to be the world's largest source of electricity in the future. To enhance the long-term reliability of PV modules, a thorough understanding of failure mechanisms is of vital importance. In addition, it is important to address the potential downsides to this technology. These include the hazardous chemicals needed for manufacturing solar cells, especially for thin-film technologies, and the large number of PV modules disposed of at the end of their lifecycles. This book discusses the reliability and environmental aspects of PV modules.