Results 271 to 280 of about 573,604 (347)

Automated Detection of Quality Deviations in Poultry Processing Using Step-Specific YOLOv12 Models. [PDF]

open access: yesFoods
Einsiedel D   +5 more
europepmc   +1 more source

Use of MAVRIC-SL for metal artifact reduction in postoperative canine stifle MRI. [PDF]

open access: yesJ Vet Sci
Kim S   +7 more
europepmc   +1 more source

Electrocardiographic artifact

Journal of Electrocardiology, 2021
Electrocardiographic (ECG) artifact, a common nuisance, has a wide range of manifestations with varying clinical significance. Beyond loose leads, motion artifacts and broken wires, artifact can also be caused by external and implanted devices as well as by physiologic signals.

exaly   +3 more sources

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

open access: yesNeuroImage, 2017
&NA; Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of participant‐level confound regression methods to limit its impact.
Rastko Ciric   +2 more
exaly   +2 more sources

Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques.

European Journal of Radiology, 2023
Metal artifacts degrade CT image quality, hampering clinical assessment. Numerous metal artifact reduction methods are available to improve the image quality of CT images with metal implants. In this review, an overview of traditional methods is provided
Mark Selles   +4 more
semanticscholar   +1 more source

CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021
Detecting and localizing image splicing has become essential to fight against malicious forgery. A major challenge to localize spliced areas is to discriminate between authentic and tampered regions with intrinsic properties such as compression artifacts.
Myung-Joon Kwon   +3 more
semanticscholar   +1 more source

Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

IEEE Transactions on Biomedical Engineering, 2020
Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable, component-based method that can effectively remove transient or large-amplitude artifacts contaminating electroencephalographic (EEG) data.
Chi-Yuan Chang   +3 more
semanticscholar   +1 more source

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