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This comprehensive encyclopedia explores basic principles and novel updates, both clinical and scientific, incorporating new pathogenetic insight, diagnostic and therapeutic modalities, and basic research that continuously advance the state of the art in ophthalmology.
This edited volume provides a broad and comprehensive picture of the intersection between Artificial Intelligence technology and Intellectual Property law, covering business and the basics of AI, the interactions between AI and patent law, copyright law, and IP administration, and the legal aspects of software and data.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.
Retinal Pharmacotherapy is the first comprehensive book devoted to pharmacologic agents and their rationale and mechanisms of action in selected retinal and uveitic diseases. Drs. Quan Dong Nguyen, Eduardo Buchele Rodrigues, Michel Eid Farah, and William F. Mieler lead an international team of expert contributors to present up-to-date knowledge of new drugs on the market, the science behind the drugs, evidence of how the drugs work, and the reasons why they are effective or not. This user-friendly, all-in-one reference provides you with easy access to practical information on the effective and appropriate use of pharmacologic agents in the management of retinal diseases. Covers all new and e...
This atlas extensively covers numerous aspects of retinal vascular disease, e.g. topics in retinal and vascular imaging ranging from common diseases such as diabetic and hypertensive retinopathy to rarer entities including sickle cell retinopathy and Coats disease. It primarily focuses on the imaging of these disorders, while also discussing various therapies and management decisions. Retinal Vascular Disease is one of nine volumes in the series Retina Atlas. The series offers a global perspective on vitreoretinal diseases, covering imaging basics, retinal vascular disease, ocular inflammatory disease, retinal degeneration, surgical retina, macular disorders, ocular oncology, pediatric retina and trauma. In nine volumes and over 100 chapters, Retina Atlas offers comprehensive and validated information on retinal disorders.
This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 22 full papers (out of 36 submissions) presented at OMIA 2019 were carefully reviewed and selected. The papers cover various topics in the field of ophthalmic image analysis.
The development of diabetic retinopathy is a long slow process affected by hyperglycemia, hypertension, lipid levels and genetics. It is expected that in 20 years' duration nearly all those with diabetes will exhibit diabetic retinopathy. In some patients, it will progress to blindness. While the number of individuals with diabetes increases, our current treatments are only effective at advanced levels of disease. Further, our screening methods to detect those needing treatment are currently not optimal. Early Events in Diabetic Retinopathy and Intervention Strategies covers topics addressing imaging processes currently available in the development of diabetic retinopathy screening. Potential biomarkers, that may be used to identify those at risk and illuminate the new pathways which lead to diabetic retinopathy, are expounded.