Description
Medical Image Understanding and Analysis, 1st ed. 2017
21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings
Communications in Computer and Information Science Series, Vol. 723
Coordinators: Valdés Hernández María, González-Castro Víctor
Language: English
Subject for Medical Image Understanding and Analysis:
Keywords
algorithms; artificial intelligence; classification; Computed Tomography (CT); computer aided diagnosis; convolutional neural networks; cross-validation; deep learning; diagnostic imaging; digital pathology; image coding; image processing; image reconstruction; image retrieval; image segmentation; machine learning; neural networks; Support Vector Machines (SVM); ultrasound images
Publication date: 06-2017
Support: Print on demand
Support: Print on demand
Description
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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 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.
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.
Includes supplementary material: sn.pub/extras
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