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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
OCT in Central Nervous System Diseases
This book reviews recent important advances in the use of optical coherence tomography (OCT) in order to analyze neurodegeneration within the retina through the quantification of axonal loss. Detailed information is provided on the role of OCT as a promising tool for the evaluation of disease progression in numerous neurodegenerative disorders and as a biological marker of neuroaxonal injury. The disorders considered include multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, intracranial hypertension, Friedreich’s ataxia, schizophrenia, hereditary optic neuropathies, glaucoma, and amblyopia. Individual chapters are also devoted to OCT technique, new OCT technology in neuro-ophthalmology, OCT and pharmacological treatment, and the use of OCT in animal models. By documenting the ability of OCT to provide key information on CNS diseases, this book illustrates convincingly that the eye is indeed the “window to the brain”.
X-Men
Collects X-Men (1963) #1 & #129, Giant-Size X-Men #1, Uncanny X-Men #171, #200, #213, #267 & #287, New X-Men (2001) #116 And Free Comic Book Day: X-Men 2008. Ever since Charles Xavier opened his school's doors to the mutants of the world, his X-Men have welcomed those from all walks of life into their ranks! See how your favorite mutants joined your favorite mutant team! Witness the initiations of Marvel Girl! Wolverine! Colossus! Nightcrawler! Banshee! Storm! Kitty Pryde! Rogue! Magneto! Gambit! Bishop! And Pixie! Featuring the threats of the Hellfire Club, Fenris, Fitzroy, the N'Garai and the Shadow King!
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and mater...
