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This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.

Optical data processing. --- Machine learning. --- Application software. --- Pattern recognition. --- Computers. --- Education—Data processing. --- Image Processing and Computer Vision. --- Machine Learning. --- Computer Applications. --- Pattern Recognition. --- Information Systems and Communication Service. --- Computers and Education. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Learning, Machine --- Artificial intelligence --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Diagnostic imaging

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This book constitutes the refereed proceedings of the second International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 11 papers presented at CaPTion 2023 were carefully reviewed and selected from 12 submissions. The workshop invites researchers to submit their work in the field of medical image analysis around the central theme of cancer and early cancer detection, progression, inflammation understanding, multimodality data, and computer-aided navigation.

Image processing --- Computer vision. --- Machine learning. --- Computers. --- Application software. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Machine Learning. --- Computing Milieux. --- Computer and Information Systems Applications. --- Digital techniques.

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This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.

Social sciences (general) --- Computer assisted instruction --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Biological techniques --- Programming --- Computer. Automation --- computervisie --- patroonherkenning --- factoranalyse --- bio-informatica --- biologie --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- programmeren (informatica)

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Social sciences (general) --- Computer assisted instruction --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Biological techniques --- Programming --- Computer. Automation --- computervisie --- patroonherkenning --- factoranalyse --- bio-informatica --- biologie --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- programmeren (informatica)

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This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

Mathematical statistics --- Electronics --- Telecommunication technology --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- optische communicatie --- optische elektronica --- applicatiebeheer --- apps --- datacommunicatie --- KI (kunstmatige intelligentie) --- architectuur (informatica)