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CT sinogram‐consistency learning for metal‐induced beam hardening correction

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0 Published in 2018 at "Medical Physics"

DOI: 10.1002/mp.13199

Abstract: PURPOSE This paper proposes a sinogram-consistency learning method to deal with beam hardening-related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sinogram that does… read more here.

Keywords: beam hardening; sinogram consistency; learning method; consistency learning ... See more keywords

A Neural Network Based on Consistency Learning and Adversarial Learning for Semisupervised Synthetic Aperture Radar Ship Detection

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1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3142017

Abstract: Ship detection in synthetic aperture radar (SAR) images has important application value. Sea clutter, complex scenes, a large size change in ships, and the arbitrary directionality of ships make ship detection challenging. With the development… read more here.

Keywords: consistency; consistency learning; network; ship detection ... See more keywords

View-Consistency Learning for Incomplete Multiview Clustering

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1 Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3187562

Abstract: In this article, we present a novel general framework for incomplete multi-view clustering by integrating graph learning and spectral clustering. In our model, a tensor low-rank constraint are introduced to learn a stable low-dimensional representation,… read more here.

Keywords: consistency; view; consistency learning; incomplete multiview ... See more keywords

Traffic Accident Detection via Self-Supervised Consistency Learning in Driving Scenarios

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1 Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3157254

Abstract: With the rapid progress of autonomous driving and advanced driver assistance systems, there are growing efforts to promote their safety in natural driving scenarios, especially for the detection of the traffic accidents. However, because of… read more here.

Keywords: consistency; traffic accident; consistency learning; accident detection ... See more keywords

Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning

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1 Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3176050

Abstract: Emerging deep learning-based methods have enabled great progress in automatic neuron segmentation from Electron Microscopy (EM) volumes. However, the success of existing methods is heavily reliant upon a large number of annotations that are often… read more here.

Keywords: neuron segmentation; semi supervised; consistency learning; reinforced consistency ... See more keywords