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Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticis...
Human knowledge is primarily the product of experiences acquired through interactions of our senses with our surroundings. Of all the senses, vision is the one relied on most heavily by most people for sensory input about the environment. Visual interactions can be divided into three processes: (1) de tection of visual information; (2) recognition of the "external source" of the information; and (3) interpretation of the significance of the information. These processes usually occur sequentially, although there is considerable interdependence among them. With our strong dependence on the processes of visual interactions, we might assume that they are well characterized and understood. Nothing could be further from the truth. Human vision remains an engima, in spite of specu lations by philosophers for centuries, and, more recently, of attention from physicists and cognitive and experimental psychologists. How we see, and how we know what we see, remains an unsolved mystery that challenges some of the most creative scientists and cognitive specialists.
Since the discovery of the x-ray over 125 years ago, scientists and medical professionals alike have harnessed the power of the atom to heal and protect. This book brings together an all-star cast of high-profile and award-winning scholars, introducing the general readership to an often unnoticed yet societally vital profession – medical physics. This collection of personal short stories offers an informal, behind-the-scenes glimpse into the lives of these esteemed professionals, encapsulating their transformative “aha” moments within a whimsical hodgepodge of instructive and inspiring anecdotes. They even pass on words of wisdom discovered from their diverse experiences throughout the...
This book constitutes the refereed proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and the 5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, held jointly in Lisbon, Portugal, in August 2004. The 59 revised full papers and 64 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 219 submissions. The papers are organized in topical sections on graphs; visual recognition and detection; contours, lines, and paths; matching and superposition; transduction and translation; image and video analysis; syntactics, languages, and strings; human shape and action; sequences and graphs; pattern matching and classification; document image analysis; shape analysis; multiple classifier systems; density estimation; clustering; feature selection; classification; and representation.
CRC Handbook of Management of Radiation Protection Programs, 2nd Edition, is unique in that it offers practical guidance for managing various aspects of radiation protection programs ranging from the daily operation of a health physics office to the preparation of radiation experts for court appearances as professional witnesses. The book also covers such topics as organization and management of nonionizing radiation safety programs (with special emphasis on laser safety programs) and management of radioactive waste, personnel monitoring programs, radiation accident victims, internal exposure, relative radiotoxicity and radiation therapy patients. Other chapters discuss handling radiation ac...
This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.
"Provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images. Presents useful examples from numerous imaging modalities for increased recognition of anomolies in MRI, CT, SPECT and digital/film X-Ray."
"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.