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This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.

Computer science. --- Health informatics. --- Mathematical statistics. --- Artificial intelligence. --- Image processing. --- Computer Science. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Probability and Statistics in Computer Science. --- Health Informatics. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- 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 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Informatics --- Science --- Statistical methods --- Data processing --- Computer vision. --- Medical records --- Artificial Intelligence. --- Data processing. --- 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 --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Medical care --- Brain --- Cerebrovascular disease --- Multiple sclerosis --- Diagnostic imaging --- Image analysis --- Tumors --- Diagnosis --- Wounds and injuries --- Imaging --- Apoplexy --- Cerebral circulation disorders --- Cerebral vascular accident --- Cerebrovascular accident --- Cerebrovascular disorders --- Cerebrovascular syndrome --- CVA (Disease) --- Stroke --- Neglect (Neurology) --- Cerebrum --- Mind --- Central nervous system --- Head --- MS (Disease) --- Sclerosis, Multiple --- Demyelination --- Myelin sheath --- Virus diseases --- Blood-vessels --- Diseases --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This two-volume set LNCS 11383 and 11384 constitutes revised selected papers from the 4th International MICCAI Brainlesion Workshop, BrainLes 2018, as well as the International Multimodal Brain Tumor Segmentation, BraTS, Ischemic Stroke Lesion Segmentation, ISLES, MR Brain Image Segmentation, MRBrainS18, Computational Precision Medicine, CPM, and Stroke Workshop on Imaging and Treatment Challenges, SWITCH, which were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Granada, Spain, in September 2018. The 92 papers presented in this volume were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; ischemic stroke lesion image segmentation; grand challenge on MR brain segmentation; computational precision medicine; stroke workshop on imaging and treatment challenges.

Computer vision. --- Medical records --- Machine learning. --- Computer Communication Networks. --- Optical pattern recognition. --- Bioinformatics. --- Image Processing and Computer Vision. --- Health Informatics. --- Machine Learning. --- Pattern Recognition. --- Computational Biology/Bioinformatics. --- Data processing. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Learning, Machine --- Artificial intelligence --- Machine theory --- 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 --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Data processing --- Medical care --- Computer vision --- Research. --- Optical data processing. --- Health informatics. --- Computer communication systems. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Distributed processing --- Optical equipment

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