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Vol. 9-26 include Monthly index of surgery and gynecology.
"Monthly index of surgery and gynecology" in vol. 9- .
OROFACIAL PAIN AND HEADACHE is a timely, comprehensive and instructive addition to the pain literature; in particular the important and truly multidisciplinary area of orofacial pain. Based on their extensive clinical experience and a thorough understanding of pain mechanisms specific to the trigeminal system, the editors, Yair Sharav and Rafael Benoliel, have integrated knowledge from the areas of headache and orofacial pain and have succinctly explained common mechanisms involved in the two phenomena, with important implications for pain diagnosis and management. Internationally renowned editors and contributor teamIntegrated approach to the diagnosis and treatment of oral and facial pain syndromes as well as common primary headaches A thorough review of the four majorclinical entities of orofacial pain: acute dental, neurovascular, musculoskeletal and neuropathicComprehensive coverage of the pharmacotherapy of acute and chronic painChapters on the psychological, neurosurgical and otolaryngological aspects of orofacial painAn in depth discussion of facial pain and headaches secondary to medical co-morbiditiesExploration of complementary and alternative methods of pain control including acupuncture, food additives and hypnosis
First multi-year cumulation covers six years: 1965-70.
Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.
New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications have become standard tools underpinning the current rapid progress with developing Computational Intelligence. A computerized support in the analysis of patient information and implementation of a computer aided diagnosis and treatment systems, increases the objectivity of the analysis and speeds up the response to pathological changes. This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Image analysis and its application is the traditional part that deals with the problem of data processing, recognition and classification. Bioinformatics has become a dynamically developed field of computer assisted biological data analysis. This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist the radiologists and biologists in patient data analysis.