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Deep Learning and Data Labeling for Medical Applications
. Ed(S): Carneiro, Gustavo; Mateus, Diana; Peter, Loic; Belagiannis, Vasileios; Bradley, Andrew; Tavares, Joao Manuel R. S.; Loog, Marco; Cardoso, Ja
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Description for Deep Learning and Data Labeling for Medical Applications
Paperback. Editor(s): Carneiro, Gustavo; Mateus, Diana; Peter, Loic; Belagiannis, Vasileios; Bradley, Andrew; Tavares, Joao Manuel R. S.; Loog, Marco; Cardoso, Jaime S. Series: Lecture Notes in Computer Science. Num Pages: 280 pages, 115 black & white illustrations, biography. BIC Classification: UBH; UML; UYQ; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 456.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
280
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
280
Place of Publication
Cham, Switzerland
ISBN
9783319469751
SKU
V9783319469751
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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