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Deep Learning and Data Labeling for Medical Applications

Gustavo Carneiro
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      This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
      Format: Paperback / softback CONTRIBUTORS: Gustavo Carneiro EAN: 9783319469751 COUNTRY: Switzerland PAGES: WEIGHT: 4511 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-09-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MEDICAL / General WIDTH: 155 cm SPINE:

      Book Themes:

      Graphics programming, Computer applications in industry and technology, Artificial intelligence, Pattern recognition, Computer vision

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      This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
      Format: Paperback / softback CONTRIBUTORS: Gustavo Carneiro EAN: 9783319469751 COUNTRY: Switzerland PAGES: WEIGHT: 4511 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-09-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MEDICAL / General WIDTH: 155 cm SPINE:

      Book Themes:

      Graphics programming, Computer applications in industry and technology, Artificial intelligence, Pattern recognition, Computer vision

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