Deep Learning and Data Labeling for Medical Applications (Record no. 58211)

000 -LEADER
fixed length control field 04547nam a22007335i 4500
001 - CONTROL NUMBER
control field 978-3-319-46976-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112235.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160926s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319469768
-- 978-3-319-46976-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
245 10 - TITLE STATEMENT
Title Deep Learning and Data Labeling for Medical Applications
Sub Title First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 280 p. 115 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Active learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- 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 -- Applications based on deep learning techniques.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Carneiro, Gustavo.
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Author 2 Mateus, Diana.
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Author 2 Peter, Lo�ic.
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Author 2 Bradley, Andrew.
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Author 2 Tavares, Jo�ao Manuel R. S.
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Author 2 Belagiannis, Vasileios.
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Author 2 Papa, Jo�ao Paulo.
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Author 2 Nascimento, Jacinto C.
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Author 2 Loog, Marco.
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Author 2 Lu, Zhi.
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Author 2 Cardoso, Jaime S.
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Author 2 Cornebise, Julien.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-46976-8
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- computer
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health informatics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
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-- Pattern recognition.
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-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern Recognition.
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-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Graphics.
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-- Health Informatics.
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-- 0302-9743 ;
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