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Showing 1 - 8 of
8 matches in All Departments
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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings (Paperback, 1st ed. 2018)
Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer Syeda-Mahmood, Anne Martel, …
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R1,574
Discovery Miles 15 740
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Ships in 10 - 15 working days
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This book constitutes the refereed joint proceedings of the 4th
International Workshop on Deep Learning in Medical Image Analysis,
DLMIA 2018, and the 8th International Workshop on Multimodal
Learning for Clinical Decision Support, ML-CDS 2018, held in
conjunction with the 21st International Conference on Medical
Imaging and Computer-Assisted Intervention, MICCAI 2018, in
Granada, Spain, in September 2018. The 39 full papers presented at
DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were
carefully reviewed and selected from 85 submissions to DLMIA and 6
submissions to ML-CDS. The DLMIA papers focus on the design and use
of deep learning methods in medical imaging. The ML-CDS papers
discuss new techniques of multimodal mining/retrieval and their use
in clinical decision support.
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Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings (Paperback, 1st ed. 2016)
Gustavo Carneiro, Diana Mateus, Loic Peter, Andrew Bradley, Joao Manuel R.S. Tavares, …
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R2,358
Discovery Miles 23 580
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Ships in 10 - 15 working days
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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.
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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings (Paperback, 1st ed. 2017)
M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, Joao Manuel R.S. Tavares, …
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R3,067
Discovery Miles 30 670
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Ships in 10 - 15 working days
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This book constitutes the refereed joint proceedings of the Third
International Workshop on Deep Learning in Medical Image Analysis,
DLMIA 2017, and the 6th International Workshop on Multimodal
Learning for Clinical Decision Support, ML-CDS 2017, held in
conjunction with the 20th International Conference on Medical
Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec
City, QC, Canada, in September 2017. The 38 full papers presented
at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were
carefully reviewed and selected. The DLMIA papers focus on the
design and use of deep learning methods in medical imaging. The
ML-CDS papers discuss new techniques of multimodal mining/retrieval
and their use in clinical decision support.
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Dairy Herd Health (Hardcover, New)
Jonathan Statham; Edited by Martin Green; Contributions by Laura Green, Andrew Bradley, Chris Hudson, …
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R2,741
Discovery Miles 27 410
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Ships in 9 - 15 working days
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Dairy herd health is an important and universal topic in large
animal veterinary practice and farming, covering both preventive
medicine and health promotion. With the move towards large-scale
farming, the health of the herd is important as an economic unit
and to promote the health of the individuals within it. This book
focuses on diseases within herds, herd husbandry practices,
youngstock management and environmental issues. Major diseases and
conditions are covered, including mastitis, lameness, nutrition,
metabolic and common infectious diseases from a herd health
perspective. It is an essential resource for veterinary
practitioners and students, researchers and dairy industry
personnel.
This is a book with all three Living with the Shadows books. The
Shadow man continues to torment the Caldwell family until The
Masons arrive, and with the help of their very eccentric friend,
Cornelius Bain, the struggle to find a way to rid their lives of
this atrocity.
In the sacred and honorable tradition of The Onion comes a
hilarious and outrageous collection of 'Church Newsletters' that
gleefully skewer America's religious right. The Godly ministers at
Landover Baptist Church (Guaranteeing Salvation Since 1612!) have
been sending out their newsletters for years, helping save those
headed for damnation from falling into the devil's clutches. Making
sure that no Christian is left behind and that all non-believers
burn in Hell, Pasto Deacon Fred and his band of merry white
preachers share such righteous wisdom as 'How children can win a
Playstation (r) 3 by accepting jesus Christ as their personal
Saviour' and 'How to prevent from turning Macy's into Neverland
Ranch.' Complete with Bible Quizzes, Sacreligious Sidebars and mug
shots of America's damned, Welcome to Jesusland! Is sure to bcome a
classic of religious and political humour - while cleansing
heathens frm the Earth (or at least from those pesky Blue States).
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