Results 241 to 250 of about 322,902 (281)

Early Clinical Outcomes of Full-Arch Rehabilitations with Immediately Loaded Implants with Buccal Dehiscence Treated with Horizontal Augmentation: A 1-Year Retrospective Case Series. [PDF]

Dent J (Basel)
Acerra A, Caggiano M, Aliberti A, Langone M, Giordano F.   +4 more
europepmc   +1 more source

Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging. [PDF]

Sensors (Basel)
Zhou D, Gao S, Huang X.
europepmc   +1 more source

Thermal imaging for sealing defect detection in pharmaceutical bags using a temporal fusion network. [PDF]

PLoS One
Wang L, Leng Z, Jiang C, Hua R.
europepmc   +1 more source

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Constrained Synthetic Sampling for Augmentation of Crackle Lung Sounds

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
Crackles are explosive breathing patterns caused by lung air sacs filling with fluid and act as an indicator for a plethora of pulmonary diseases. Clinical studies suggest a strong correlation between the presence of these adventitious auscultations and mortality rate, especially in pediatric patients, underscoring the importance of their pathological ...
Annapurna, Kala, Mounya, Elhilali
openaire   +2 more sources

Deep Generative Inpainting with Comparative Sample Augmentation

Journal of Computational and Cognitive Engineering, 2022
Recent advances in deep learning techniques such as Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) have achieved breakthroughs in the problem of semantic image inpainting, the task of reconstructing missing pixels.
Boli Fang, Miao Jiang, Jerry Shen, Björn Stenger   +3 more
openaire   +1 more source

Multilabel Sample Augmentation-Based Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2020
The quantity and quality of training samples have a great influence on the performance of most hyperspectral image classification approaches. However, in a real scenario, manually annotating a large number of accurate training samples is extremely labor-intensive and time-consuming.
Qiaobo Hao, Shutao Li, Xudong Kang
openaire   +1 more source

Sample size of the reference sample in a case‐augmented study

Pharmacoepidemiology and Drug Safety, 2017
AbstractThe case‐augmented study, in which a case sample is augmented with a reference (random) sample from the source population with only covariates information known, is becoming popular in different areas of applied science such as pharmacovigilance, ecology, and econometrics.
Palash Ghosh, Anup Dewanji
openaire   +2 more sources