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This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.
Medicine. --- Health informatics. --- Radiology. --- Internal medicine. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Medicine & Public Health. --- Internal Medicine. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Health Informatics. --- Imaging / Radiology. --- Diagnostic imaging --- Data processing --- Computer vision. --- Optical pattern recognition. --- Medical records --- Radiology, Medical. --- Artificial Intelligence. --- Data processing. --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Medicine, Internal --- Medicine --- Medical care --- Optical data processing. --- Radiological physics --- Physics --- Radiation --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This book constitutes the refereed proceedings of the First International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 13 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.
Diagnostic imaging --- Data processing --- Optical data processing. --- Machine learning. --- Pattern recognition. --- Image Processing and Computer Vision. --- Machine Learning. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Learning, Machine --- Artificial intelligence --- Machine theory --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This book constitutes the refereed proceedings of the First International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 13 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.
Mathematical statistics --- Electronics --- Telecommunication technology --- Programming --- Computer. Automation --- patroonherkenning --- factoranalyse --- optische communicatie --- optische elektronica --- datacommunicatie --- programmeren (informatica)
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Mathematical statistics --- Electronics --- Telecommunication technology --- Programming --- Computer. Automation --- patroonherkenning --- factoranalyse --- optische communicatie --- optische elektronica --- datacommunicatie --- programmeren (informatica)
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This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Diagnostic imaging --- Computer-assisted surgery --- Computer-assisted surgery. --- Data processing --- Computer-aided surgery --- Image-guided surgery --- Surgery --- Image processing --- Computer vision. --- Machine learning. --- Database management. --- Social sciences --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Machine Learning. --- Database Management. --- Computer Application in Social and Behavioral Sciences. --- Digital techniques. --- Data processing. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Learning, Machine --- Artificial intelligence --- Machine theory --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Digital image processing --- Digital electronics
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This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
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Light and darkness shape our perception of the world. This is true in a literal sense, but also metaphorically: in theology, philosophy, literature and the arts the light of day signifies life, safety, knowledge and all that is good, while the darkness of the night suggests death, danger, ignorance and evil. A closer inspection, however, reveals that things are not quite so clear cut and that light and darkness cannot be understood as simple binary opposites. On a biological level, for example, daylight and darkness are inseparable factors in the calibration of our circadian rhythms, and a lack of periodical darkness appears to be as contrary to health as a lack of exposure to sunlight. On a cultural level, too, night and darkness are far from being universally condemnable: in fiction, drama and poetry the darkness of the night allows not only nightmares but also dreams, it allows criminals to ply their trade and allows lovers to meet, it allows the pursuit of pleasure as well as deep thought, it allows metamorphoses, transformations and transgressions unthinkable in the light of day. But night is not merely darkness. The night gains significance as an alternative space, as an 'other of the day', only when it is at least partially illuminated. The volume examines the interconnection of night, darkness and nocturnal illumination across a broad range of literary texts. The individual essays examine historically specific light conditions in literature, tracing the symbolic and metaphoric content of darkness and illumination and the attitudes towards them.
Light and darkness in literature. --- Night in literature. --- Anglophone Literature. --- Illumination. --- Light. --- Night.
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