Results 31 to 40 of about 11,701 (254)

D-S-Net: an efficient dual-stage strategy for high-precision segmentation of gross tumor volumes in lung cancer CT images

open access: yesBMC Cancer
Background Accurate delineation of Gross Tumor Volume (GTV) in lung cancer is critical for effective radiotherapy and surgical planning. However, segmentation of GTV in high-resolution CT images remains challenging, particularly when tumors are small or ...
Chen Yi   +7 more
doaj   +1 more source

Brain Extraction From Brain MRI Images Based on Wasserstein GAN and O-Net

open access: yesIEEE Access, 2021
Brain extraction is an essential pre-processing step for neuroimaging analysis. It is difficult to achieve high-precision extraction from low-quality brain MRI images with artifacts and gray inconsistencies which often result in irregular hole regions in
Shaofeng Jiang   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

RAU-Net for precise lung cancer GTV segmentation in radiation therapy planning

open access: yesScientific Reports
Lung cancer, as one of the most lethal malignancies worldwide, primarily relies on radiation therapy, with about 60%-70% of patients requiring this treatment.
Huai-wen Zhang   +7 more
doaj   +1 more source

Ultrasonic pulse-echo reflection and through-transmission methods for porosity measurement in carbon fiber-reinforced polymer composites

open access: yesJournal of Aeronautical Materials, 2020
To detect void defects and determine porosity levels, carbon fiber-reinforced polymer composites were characterized through two kinds of ultrasonic methods, namely pulse-echo reflection and through-transmission.
SHI Junwei, LIU Songping, XUN Guoli
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

Mesotronics: Some New, Unusual Optical Effects

open access: yesPhotonics, 2022
The recently emerged field of Mesotronics provides novel opportunities for subwavelength magnetic and electric field localization and giant enhancement by mesoscale dielectric particles and structures from low-index to high-index materials, supported by ...
Igor V. Minin, Oleg V. Minin
doaj   +1 more source

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

open access: yesAdvanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source

Multiple Competition Processes Between Stimulated Brillouin and Raman Scattering in a Sulfate Aqueous Solution

open access: yesIEEE Photonics Journal, 2017
Stimulated Brillouin scattering (SBS) and stimulated Raman scattering (SRS) processes from the aqueous solution of MgSO4 have been observed. The experimental results show that there are three different processes in aqueous solution of sulfate: SBS, SRS ...
Jiulin Shi   +6 more
doaj   +1 more source

Simulation-Based Generation of Representative and Valid Training Data for Acoustic Resonance Testing

open access: yesApplied Sciences, 2020
Analyzing eigenfrequencies of serial parts by acoustic resonance testing enables an efficient nondestructive assessment of component quality or structural state. Usually, each application is based on experimentally acquired training data, which represent
Matthias Heinrich   +2 more
doaj   +1 more source

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