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    Machine Learning in Medical Imaging

    Machine Learning in Medical Imaging

    - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

    Forfatter: info mangler
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    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.

    The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.

    The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

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    Classification Image processing Neural networks Machine learning Sensorless reconstruction Image segmentation Computer-aided diagnosis Factorization Methods Kernel Methods Multi-task learning Shape representation Manifold learning 3D ultrasound Medical image analysis Dimensionality Reduction Deep learning: Brain MRI Supervised learning Regression Trees Ensemble learning

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