Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active Learning Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3146141
Abstract: Obstructive sleep apnea (OSA) is one of the most commonsleep-related breathing disorders. Nearly 1 billion people worldwide suffer from it, causing serious health effects and social burden. However, traditional monitoring systems often fall short in… read more here.
Keywords: sleep apnea; deep active; monitoring; monitoring system ... See more keywords
A deep active learning framework for mitotic figure detection with minimal manual annotation and labelling
Sign Up to like & getrecommendations! Published in 2025 at "Histopathology"
DOI: 10.1111/his.15506
Abstract: Accurately and efficiently identifying mitotic figures (MFs) is crucial for diagnosing and grading various cancers, including glioblastoma (GBM), a highly aggressive brain tumour requiring precise and timely intervention. Traditional manual counting of MFs in whole… read more here.
Keywords: deep active; mitotic figure; active learning; learning framework ... See more keywords
Efficient labeling of retinal fundus photographs using deep active learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.6.064001
Abstract: Abstract. Purpose To compare the performance of four deep active learning (DAL) approaches to optimize label efficiency for training diabetic retinopathy (DR) classification deep learning models. Approach 88,702 color retinal fundus photographs from 44,351 patients… read more here.
Keywords: random sampling; fundus photographs; active learning; classification ... See more keywords
Data-driven design of thin-film optical systems using deep active learning.
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DOI: 10.1364/oe.459295
Abstract: A deep learning aided optimization algorithm for the design of flat thin-film multilayer optical systems is developed. The authors introduce a deep generative neural network, based on a variational autoencoder, to perform the optimization of… read more here.
Keywords: active learning; deep active; optical systems; thin film ... See more keywords
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference
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DOI: 10.3389/fnbot.2022.795846
Abstract: Although still not fully understood, sleep is known to play an important role in learning and in pruning synaptic connections. From the active inference perspective, this can be cast as learning parameters of a generative… read more here.
Keywords: space; active inference; deep active; latent space ... See more keywords
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training
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DOI: 10.3390/e27111159
Abstract: Accurate uncertainty estimation in unlabeled data represents a fundamental challenge in active learning. Traditional deep active learning approaches suffer from a critical limitation: uncertainty-based selection strategies tend to concentrate excessively around noisy decision boundaries, while… read more here.
Keywords: deep active; distance measured; measured data; active learning ... See more keywords