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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) Loot Price: R1,487
Discovery Miles 14 870
You Save: R174 (10%)
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International...

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, Vasileios Belagiannis, Joao Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10008

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List price R1,661 Loot Price R1,487 Discovery Miles 14 870 | Repayment Terms: R136 pm x 12* You Save R174 (10%)

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10008
Release date: September 2016
First published: 2016
Editors: Gustavo Carneiro • Diana Mateus • Loic Peter • Andrew Bradley • Joao Manuel R.S. Tavares • Vasileios Belagiannis • Joao Paulo Papa • Jacinto C. Nascimento • Marco Loog • Zhi Lu
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Paperback
Pages: 280
Edition: 1st ed. 2016
ISBN-13: 978-3-319-46975-1
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-46975-4
Barcode: 9783319469751

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