Deep Learning and Data Labeling for Medical Applications is popular PDF and ePub book, written by Gustavo Carneiro in 2016-10-07, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Deep Learning and Data Labeling for Medical Applications can be Read Online from any device for your convenience.
Deep Learning and Data Labeling for Medical Applications Book PDF Summary
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.
Detail Book of Deep Learning and Data Labeling for Medical Applications PDF
- Author : Gustavo Carneiro
- Release : 07 October 2016
- Publisher : Springer
- ISBN : 9783319469768
- Genre : Computers
- Total Page : 289 pages
- Language : English
- PDF File Size : 10,9 Mb
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