Code: 14133164

Deep Learning and Data Labeling for Medical Applications

Name: Deep Learning and Data Labeling for Medical Applications
Brand: Springer International Publishing AG
SKU: 14133164
Price: 61.46 EUR
Availability: InStock

by Gustavo Carneiro, Diana Mateus, Peter Lo?c, Andrew Bradley, Jo?o Manuel R. S. Tavares, Vasileios Belagiannis, Jo?o Paulo Papa, Jacinto C. Nascimento

Language: English
Binding: Paperback
Number of pages: 280
Publisher: Springer International Publishing AG, 2016
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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

61.46 €

Full title: Deep Learning and Data Labeling for Medical Applications
Author: Gustavo Carneiro, Diana Mateus, Peter Lo?c, Andrew Bradley, Jo?o Manuel R. S. Tavares, Vasileios Belagiannis, Jo?o Paulo Papa, Jacinto C. Nascimento
Language: English
Binding: Paperback
Number of pages: 280
EAN: 9783319469751
ISBN: 3319469754
ID: 14133164
Publisher: Springer International Publishing AG
Weight: 4511 g
Dimensions: 235 × 155 × 17 mm
Date of publishing: 27. September 2016