Deep Learning and Data Labeling for Medical Applications
-15%
portes grátis
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
Nascimento, Jacinto C.; Papa, Joao Paulo; Lu, Zhi; Bradley, Andrew; Peter, Loic; Loog, Marco; Tavares, Joao Manuel R. S.; Carneiro, Gustavo; Belagiannis, Vasileios; Mateus, Diana
Springer International Publishing AG
09/2016
280
Mole
Inglês
9783319469751
15 a 20 dias
4511
Descrição não disponível.
Active learning.- Semi-supervised learning.- Reinforcement learning.- Domain adaptation and transfer learning.- Crowd-sourcing annotations and fusion of labels from different sources.- Data augmentation.- Modelling of label uncertainty.- Visualization and human-computer interaction.- 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.- Applications based on deep learning techniques.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
active learning;deep learning;human-computer interaction;label uncertainty;medical image analysis;anatomical structure segmentation;cell detection;clinical prediction;computer aided diagnosis;convolutional neural network;crowdsourcing;domain adaptation;MRI;multi-label annotation;neurosurgery;parameter approximation;semantic description;semi-supervised learning;transfer learning;machine learning
Active learning.- Semi-supervised learning.- Reinforcement learning.- Domain adaptation and transfer learning.- Crowd-sourcing annotations and fusion of labels from different sources.- Data augmentation.- Modelling of label uncertainty.- Visualization and human-computer interaction.- 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.- Applications based on deep learning techniques.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
active learning;deep learning;human-computer interaction;label uncertainty;medical image analysis;anatomical structure segmentation;cell detection;clinical prediction;computer aided diagnosis;convolutional neural network;crowdsourcing;domain adaptation;MRI;multi-label annotation;neurosurgery;parameter approximation;semantic description;semi-supervised learning;transfer learning;machine learning
