Articles with "fracture detection" as a keyword



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Automatic fracture detection and characterization from unwrapped drill-core images using mask R–CNN

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Published in 2022 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2021.109471

Abstract: Abstract Drill cores provide the most reliable fracture information in subsurface formations as they present a clear and direct view of fractures. Core observation and image log interpretation are usually integrated for fracture analysis of… read more here.

Keywords: fracture detection; core images; machine learning; fracture ... See more keywords
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3-D Structure-Oriented Adaptive Gaussian Pyramid for Seismic Multiscale Fracture Detection

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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3244579

Abstract: Gaussian pyramid (GP) has the property of decomposing the 2-D data into multiple scales. It has been successfully applied in image processing, but rarely used in seismic data processing and interpretation. Specifically, seismic data are… read more here.

Keywords: gaussian pyramid; structure; fracture detection; method ... See more keywords
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A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning

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Published in 2023 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3263074

Abstract: The rib fracture is a common type of thoracic skeletal trauma, and its inspections using computed tomography (CT) scans are critical for clinical evaluation and treatment planning. However, it is often challenging for radiologists to… read more here.

Keywords: rib fracture; fracture; fracture detection; segmentation ... See more keywords
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Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

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Published in 2022 at "Radiology"

DOI: 10.1148/radiol.211785

Abstract: Background Patients with fractures are a common emergency presentation and may be misdiagnosed at radiologic imaging. An increasing number of studies apply artificial intelligence (AI) techniques to fracture detection as an adjunct to clinician diagnosis.… read more here.

Keywords: artificial intelligence; detection; meta analysis; fracture detection ... See more keywords
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Rib Fracture Detection with Dual-Attention Enhanced U-Net

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Published in 2022 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2022/8945423

Abstract: Rib fractures are common injuries caused by chest trauma, which may cause serious consequences. It is essential to diagnose rib fractures accurately. Low-dose thoracic computed tomography (CT) is commonly used for rib fracture diagnosis, and… read more here.

Keywords: attention; rib fracture; fracture detection;
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Scaphoid Fracture Detection by Using Convolutional Neural Network

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Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics12040895

Abstract: Scaphoid fractures frequently appear in injury radiograph, but approximately 20% are occult. While there are few studies in the fracture detection of X-ray scaphoid images, their effectiveness is insignificant in detecting the scaphoid fractures. Traditional… read more here.

Keywords: fracture detection; scaphoid fractures; convolutional neural; network ... See more keywords
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Bone Fracture Detection Using Deep Supervised Learning from Radiological Images: A Paradigm Shift

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Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics12102420

Abstract: Bone diseases are common and can result in various musculoskeletal conditions (MC). An estimated 1.71 billion patients suffer from musculoskeletal problems worldwide. Apart from musculoskeletal fractures, femoral neck injuries, knee osteoarthritis, and fractures are very… read more here.

Keywords: detection using; bone fracture; fracture detection;