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Medical Image Understanding and Analysis

María Valdés Hernández
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      This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
      Format: Paperback / softback CONTRIBUTORS: María Valdés Hernández EAN: 9783319609638 COUNTRY: Switzerland PAGES: WEIGHT: 1460 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2017-06-23 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Data Analytics WIDTH: 155 cm SPINE:

      Book Themes:

      Data mining, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition, Computer vision

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      This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
      Format: Paperback / softback CONTRIBUTORS: María Valdés Hernández EAN: 9783319609638 COUNTRY: Switzerland PAGES: WEIGHT: 1460 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2017-06-23 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Data Analytics WIDTH: 155 cm SPINE:

      Book Themes:

      Data mining, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition, Computer vision

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      Be the first to write a review
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