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   Articles with "semi supervised" as a keyword



Improved L2 Regularized Semi‐Supervised Extreme Learning Machine for Enhanced Rare Earth Component Content Prediction

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recommendations! Published in 2025 at "Asia-Pacific Journal of Chemical Engineering"

DOI: 10.1002/apj.70079

Abstract: The traditional data‐driven methods for predicting the component content of rare earth elements (REEs) suffer from several drawbacks, notably a considerable delay in data labeling, elevated costs, and a massive quantity of unused unlabeled data.… read more here.

Keywords: rare earth; component content; semi supervised; machine ... See more keywords

Application of independent component analysis with semi‐supervised Laplacian regularization kernel density estimation

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recommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"

DOI: 10.1002/cjce.23067

Abstract: In this study, fault detection and fault reconstruction methods are developed using matrix factorization of component vectors obtained with independent component analysis (ICA). Two monitoring statistics are used for fault detection in a detailed analysis… read more here.

Keywords: fault; independent component; semi supervised; analysis ... See more keywords

Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70114

Abstract: Carotid plaques in ultrasound images are a routine indicator for stroke accident risk evaluation. However, plaque segmentation for diagnosis is a difficult task because artifacts and heterogeneity can obfuscate the plaque boundaries. Moreover, pixel‐level labeling… read more here.

Keywords: plaque segmentation; carotid; consistency; semi supervised ... See more keywords

Semi-supervised interactive fusion network for MR image segmentation.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16072

Abstract: BACKGROUND Medical image segmentation is an important task in the diagnosis and treatment of cancers. The low contrast and highly flexible anatomical structure make it challenging to accurately segment the organs or lesions. PURPOSE To… read more here.

Keywords: semi supervised; image segmentation; interactive fusion; segmentation ... See more keywords

Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.

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recommendations! Published in 2023 at "Medical physics"

DOI: 10.1002/mp.16217

Abstract: BACKGROUND Semi-supervised learning is becoming an effective solution for medical image segmentation because of the lack of a large amount of labeled data. PURPOSE Consistency-based strategy is widely used in semi-supervised learning. However, it is still… read more here.

Keywords: semi supervised; image segmentation; regularization; medical image ... See more keywords

FaxMatch: Multi-Curriculum Pseudo-Labeling for Semi-supervised Medical Image Classification.

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recommendations! Published in 2023 at "Medical physics"

DOI: 10.1002/mp.16312

Abstract: BACKGROUND Semi-supervised learning (SSL) can effectively use information from unlabeled data to improve model performance, which has great significance in medical imaging tasks. Pseudo-labeling is a classical SSL method that uses a model to predict… read more here.

Keywords: semi supervised; pseudo labeling; medical image; pseudo ... See more keywords

Semi‐supervised medical image segmentation network based on mutual learning

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recommendations! Published in 2024 at "Medical Physics"

DOI: 10.1002/mp.17547

Abstract: Semi‐supervised learning provides an effective means to address the challenge of insufficient labeled data in medical image segmentation tasks. However, when a semi‐supervised segmentation model is overfitted and exhibits cognitive bias, its performance will deteriorate.… read more here.

Keywords: segmentation; supervised medical; image segmentation; medical image ... See more keywords

Co‐training semi‐supervised medical image segmentation based on pseudo‐label weight balancing

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recommendations! Published in 2025 at "Medical Physics"

DOI: 10.1002/mp.17712

Abstract: Major challenges in current semi‐supervised segmentation methods: (1) The complementary nature of information in pseudo‐label: a key limitation of consistent regularization methods is the tendency of sub‐networks to converge to the consensus case early on,… read more here.

Keywords: segmentation; pseudo label; pseudo; semi supervised ... See more keywords

Semi-Supervised Super-Resolution of Diffusion-Weighted Images Based on Multiple References.

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recommendations! Published in 2023 at "NMR in biomedicine"

DOI: 10.1002/nbm.4919

Abstract: Spatial resolution of diffusion tensor (DT) images is usually compromised to accelerate the acquisitions and the state-of-the-art (SOTA) image super-resolution (SR) reconstruction methods are commonly based on supervised learning models. Considering that the matched low-resolution… read more here.

Keywords: resolution diffusion; semi supervised; resolution; reconstruction ... See more keywords

Semi-supervised inference for nonparametric logistic regression.

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recommendations! Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9737

Abstract: We consider the problem of estimating the nonparametric function in nonparametric logistic regression under semi-supervised framework, where a relatively small size labeled data set collected by case-control sampling and a relatively large size of unlabeled… read more here.

Keywords: semi supervised; nonparametric logistic; function; logistic regression ... See more keywords

Temporal teacher with masked transformers for semi-supervised action proposal generation

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recommendations! Published in 2024 at "Machine Vision and Applications"

DOI: 10.1007/s00138-024-01521-7

Abstract: By conditioning on unit-level predictions, anchor-free models for action proposal generation have displayed impressive capabilities, such as having a lightweight architecture. However, task performance depends significantly on the quality of data used in training, and… read more here.

Keywords: proposal; anchor free; proposal generation; semi supervised ... See more keywords