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Computer-assisted surgery. --- Diagnostic imaging --- Data processing --- Computer-aided surgery --- Image-guided surgery --- Surgery

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This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021. The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis; predictive modelling; temporal data analysis; unsupervised learning; planning and decision support; deep learning; natural language processing; and knowledge representation and rule mining.

Operational research. Game theory --- Mathematical statistics --- Computer science --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- stochastische analyse --- applicatiebeheer --- apps --- computers --- grafische vormgeving --- informatica --- statistiek --- informatietechnologie --- KI (kunstmatige intelligentie) --- architectuur (informatica)

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Biomathematics. Biometry. Biostatistics --- Biological techniques --- Computer science --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- toegepaste informatica --- bio-informatica --- applicatiebeheer --- apps --- biologie --- computers --- grafische vormgeving --- programmeren (informatica) --- computerkunde --- architectuur (informatica)

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This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.

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